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Advanced Micro Devices Inc
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  • Senior HPC & DevOps Engineer  

    Advanced Micro Devices Inc
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    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: We are seeking a highly skilled Senior HPC & DevOps Engineer with experience in managing both high-performance computing clusters and modern DevOps infrastructure. The ideal candidate combines expertise in Slurm-managed HPC clusters, GPU compute environments, CI/CD pipelines, and Kubernetes-based orchestration. This person thrives in collaborative, fast-paced environments, drives technical execution with minimal oversight, and has a passion for building reliable, scalable, and high-performance systems. THE PERSON: The ideal candidate is a skilled engineer with a strong background in DevOps, site reliability, or infrastructure engineering. They are proficient in Kubernetes, CI/CD tools, scripting (Python/Bash), and infrastructure automation frameworks such as Ansible. Experience working with GPU compute environments and integrating automated test workflows is highly valued. This person thrives in collaborative, fast-paced environments and can drive technical execution with minimal oversight. They bring a problem-solving mindset, strong communication skills, and a passion for building reliable, scalable systems. KEY RESPONSIBILITIES: Deploy, configure, and maintain HPC clusters using Slurm. Manage GPU compute nodes, high-speed interconnects, and parallel storage systems. Design and maintain CI/CD pipelines using Buildkite, GitHub Actions, Jenkins. Automate infrastructure provisioning and configuration with Ansible, Terraform, Python, Bash. Deploy containerized applications using Docker, Kubernetes, Helm. Monitor cluster health and performance; build dashboards with Grafana, Prometheus, Checkmk. Collaborate across teams to optimize workflows, troubleshoot issues, and document best practices. PREFERRED EXPERIENCE: Strong experience with Slurm or equivalent HPC schedulers. CI/CD, DevOps tools, and automation expertise. GPU compute and lifecycle management (CUDA/ROCm). Linux administration, shell scripting, and distributed systems troubleshooting. Containerization and orchestration (Docker, Kubernetes, Helm). Agile, collaborative mindset with strong communication skills. ACADEMIC CREDENTIALS: Bachelor's or master's degree in computer/software engineering, Computer Science, or related technical discipline Solid years of industry experience #LI-EV1 #LI-REMOTE Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.THE ROLE: We are seeking a highly skilled Senior HPC & DevOps Engineer with experience in managing both high-performance computing clusters and modern DevOps infrastructure. The ideal candidate combines expertise in Slurm-managed HPC clusters, GPU compute environments, CI/CD pipelines, and Kubernetes-based orchestration. This person thrives in collaborative, fast-paced environments, drives technical execution with minimal oversight, and has a passion for building reliable, scalable, and high-performance systems. THE PERSON: The ideal candidate is a skilled engineer with a strong background in DevOps, site reliability, or infrastructure engineering. They are proficient in Kubernetes, CI/CD tools, scripting (Python/Bash), and infrastructure automation frameworks such as Ansible. Experience working with GPU compute environments and integrating automated test workflows is highly valued. This person thrives in collaborative, fast-paced environments and can drive technical execution with minimal oversight. They bring a problem-solving mindset, strong communication skills, and a passion for building reliable, scalable systems. KEY RESPONSIBILITIES: Deploy, configure, and maintain HPC clusters using Slurm. Manage GPU compute nodes, high-speed interconnects, and parallel storage systems. Design and maintain CI/CD pipelines using Buildkite, GitHub Actions, Jenkins. Automate infrastructure provisioning and configuration with Ansible, Terraform, Python, Bash. Deploy containerized applications using Docker, Kubernetes, Helm. Monitor cluster health and performance; build dashboards with Grafana, Prometheus, Checkmk. Collaborate across teams to optimize workflows, troubleshoot issues, and document best practices. PREFERRED EXPERIENCE: Strong experience with Slurm or equivalent HPC schedulers. CI/CD, DevOps tools, and automation expertise. GPU compute and lifecycle management (CUDA/ROCm). Linux administration, shell scripting, and distributed systems troubleshooting. Containerization and orchestration (Docker, Kubernetes, Helm). Agile, collaborative mindset with strong communication skills. ACADEMIC CREDENTIALS: Bachelor's or master's degree in computer/software engineering, Computer Science, or related technical discipline Solid years of industry experience #LI-EV1 #LI-REMOTE Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • 3D Graphics Driver Performance Engineer.  

    Advanced Micro Devices Inc
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    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Senior 3D graphics driver performance engineer THE ROLE: We are looking for an experienced 3D graphics driver performance engineer or developer to optimize and develop 3D drivers with a focus on game and machine learning performance optimizations. This is an excellent opportunity to work on the cutting edge of Ray Tracing, Machine Learning, and GPU architecture. THE PERSON: You are passionate about 3D graphics and improving the performance of games and applications utilizing the GPU Has hands-on experience and understanding of GPU architecture Has good programming skills in HLSL, GLSL, OpenCL, CUDA or similar in addition to general software development skills in C++ Able to communicate effectively and work optimally in a distributed team KEY RESPONSIBILITIES: Analyze shader algorithms in HLSL data from performance tools, identify issues and potential optimization opportunities, and develop algorithms/shaders to achieve performance improvement. Brainstorm with teams about potential solutions to optimize, experiment and refine optimizations and implement in drivers. Contribute to performance tool improvements. PREFERRED EXPERIENCE: Good understanding of GPU architecture, memory management, and power management Good understanding of the 3D, Compute, Ray Tracing, and Machine Learning pipelines on GPUs Hands-on experience in developing and optimizing Ray Tracing, Machine Learning, games/creative apps on GPUs using D3D or Vulkan/OpenGL or Metal APIs. Experience in HLSL, GLSL, OpenCL, CUDA or similar and strong C/C++ programming skills Excellent communication and collaboration skills to work across teams ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer/Software Engineering, Computer Science, or related technical discipline. #LI-CC5 #LI-Remote Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.Senior 3D graphics driver performance engineer THE ROLE: We are looking for an experienced 3D graphics driver performance engineer or developer to optimize and develop 3D drivers with a focus on game and machine learning performance optimizations. This is an excellent opportunity to work on the cutting edge of Ray Tracing, Machine Learning, and GPU architecture. THE PERSON: You are passionate about 3D graphics and improving the performance of games and applications utilizing the GPU Has hands-on experience and understanding of GPU architecture Has good programming skills in HLSL, GLSL, OpenCL, CUDA or similar in addition to general software development skills in C++ Able to communicate effectively and work optimally in a distributed team KEY RESPONSIBILITIES: Analyze shader algorithms in HLSL data from performance tools, identify issues and potential optimization opportunities, and develop algorithms/shaders to achieve performance improvement. Brainstorm with teams about potential solutions to optimize, experiment and refine optimizations and implement in drivers. Contribute to performance tool improvements. PREFERRED EXPERIENCE: Good understanding of GPU architecture, memory management, and power management Good understanding of the 3D, Compute, Ray Tracing, and Machine Learning pipelines on GPUs Hands-on experience in developing and optimizing Ray Tracing, Machine Learning, games/creative apps on GPUs using D3D or Vulkan/OpenGL or Metal APIs. Experience in HLSL, GLSL, OpenCL, CUDA or similar and strong C/C++ programming skills Excellent communication and collaboration skills to work across teams ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer/Software Engineering, Computer Science, or related technical discipline. #LI-CC5 #LI-Remote Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • GPU Kernel Developer - AI Models  

    Advanced Micro Devices Inc
    - Cambridge
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ GPU Kernel Developer - AI Models THE ROLE: AMD is looking for a GPU kernel development engineer who is talented in developing high performance kernels for state-of-the-art and upcoming GPU hardware. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: Experienced in GPU kernel development and optimization for AI/HPC applications. Strong technical and analytical skills in GPU computing, hardware architecture, and deep understanding of HIP/CUDA/OpenCL/Triton development. Ability to work as part of a team, deliver to project scope, and communicate to a technical/non-technical audience. KEY RESPONSIBILITIES: Develop high performance GPU kernels for key AI operators on AMD GPUs Optimize GPU code using structured and disciplined methodology - profiling to identify gaps, roofline-analysis on hardware, identify key set of optimizations, establish uplift and line-of-sight, prototype and develop optimizations Support mission-critical workloads in NLP/LLM, Recommendation, Vision and Audio Collaborate and interact with system level performance architects, GPU hardware specialists, power/clock tuning teams, performance validation teams, and performance marketing teams to analyze and optimize training and inference for AI Work with open-source framework maintainers to understand their requirements – and have your code changes integrated upstream Debug, maintain and optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, Distributed scale-up/out communication, etc.) Apply your knowledge of software engineering best practices PREFERRED EXPERIENCE: Knowledge of GPU computing (HIP, CUDA, OpenCL, Triton) Knowledge and experience in optimizing GPU kernels Expertise in using profiling, debugging tools Core understanding of GPU hardware Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. ACADEMIC CREDENTIALS: Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field #LI-RA1 #LI-REMOTE Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.GPU Kernel Developer - AI Models THE ROLE: AMD is looking for a GPU kernel development engineer who is talented in developing high performance kernels for state-of-the-art and upcoming GPU hardware. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: Experienced in GPU kernel development and optimization for AI/HPC applications. Strong technical and analytical skills in GPU computing, hardware architecture, and deep understanding of HIP/CUDA/OpenCL/Triton development. Ability to work as part of a team, deliver to project scope, and communicate to a technical/non-technical audience. KEY RESPONSIBILITIES: Develop high performance GPU kernels for key AI operators on AMD GPUs Optimize GPU code using structured and disciplined methodology - profiling to identify gaps, roofline-analysis on hardware, identify key set of optimizations, establish uplift and line-of-sight, prototype and develop optimizations Support mission-critical workloads in NLP/LLM, Recommendation, Vision and Audio Collaborate and interact with system level performance architects, GPU hardware specialists, power/clock tuning teams, performance validation teams, and performance marketing teams to analyze and optimize training and inference for AI Work with open-source framework maintainers to understand their requirements – and have your code changes integrated upstream Debug, maintain and optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, Distributed scale-up/out communication, etc.) Apply your knowledge of software engineering best practices PREFERRED EXPERIENCE: Knowledge of GPU computing (HIP, CUDA, OpenCL, Triton) Knowledge and experience in optimizing GPU kernels Expertise in using profiling, debugging tools Core understanding of GPU hardware Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. ACADEMIC CREDENTIALS: Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field #LI-RA1 #LI-REMOTE Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • Product Management Director - Data Center GPU  

    Advanced Micro Devices Inc
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE TEAM: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: We are seeking an experienced Software Product Director to join AMD’s Data Center GPU AI Software Product Management team. In this role, you will shape the strategy, definition, and delivery of enterprise AI solutions powered by AMD Instinct GPUs. You will engage directly with enterprise customers to understand their AI/ML workloads—including emerging agentic AI use cases—and collaborate with cross-functional teams to develop products that drive customer success. THE PERSON: As a Director of Product Management, you will influence AMD’s AI software ecosystem and enterprise customers relying on GPU-powered AI applications. The ideal candidate is a self-driven, dynamic leader with deep knowledge of enterprise AI workloads, software ecosystems, and product management best practices. You excel at translating customer needs into actionable product strategies and thrive in a fast-paced environment. Strong communication skills and cross-team collaboration are essential KEY RESPONSIBILITIES: Define and maintain the strategy and roadmap for enterprise AI software solutions aligned with Data Center GPU goals. Partner with enterprise customers to gather insights on AI workloads and infrastructure, prioritizing features to meet their needs. Identify opportunities in AI workloads (e.g., LLM inference/training, recommender systems, computer vision) and emerging agentic AI to drive innovation. Collaborate with architecture, engineering, and software strategy teams to optimize AMD Instinct GPU solutions. Develop clear value propositions, positioning, and collateral to support product messaging for customers and partners. Work with ISVs, GSIs, and OEMs to deliver comprehensive AI-ready enterprise solutions that accelerate adoption. PREFERRED EXPERIENCE: Several years in enterprise software product management, focused on AI/ML or enterprise cloud/edge workloads. Strong understanding of AI software stacks and infrastructure for large-scale deployments. Experience building, managing, or deploying enterprise-scale AI applications. Familiarity with cloud, hybrid, on-premises, and edge deployment environments. Proven track record managing technical products through the full lifecycle. ACADEMIC CREDENTIALS: Bachelor’s degree or higher in Computer Science, Electrical Engineering or closely related field. #LI-EV1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.THE TEAM: AMD's Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: We are seeking an experienced Software Product Director to join AMD’s Data Center GPU AI Software Product Management team. In this role, you will shape the strategy, definition, and delivery of enterprise AI solutions powered by AMD Instinct GPUs. You will engage directly with enterprise customers to understand their AI/ML workloads—including emerging agentic AI use cases—and collaborate with cross-functional teams to develop products that drive customer success. THE PERSON: As a Director of Product Management, you will influence AMD’s AI software ecosystem and enterprise customers relying on GPU-powered AI applications. The ideal candidate is a self-driven, dynamic leader with deep knowledge of enterprise AI workloads, software ecosystems, and product management best practices. You excel at translating customer needs into actionable product strategies and thrive in a fast-paced environment. Strong communication skills and cross-team collaboration are essential KEY RESPONSIBILITIES: Define and maintain the strategy and roadmap for enterprise AI software solutions aligned with Data Center GPU goals. Partner with enterprise customers to gather insights on AI workloads and infrastructure, prioritizing features to meet their needs. Identify opportunities in AI workloads (e.g., LLM inference/training, recommender systems, computer vision) and emerging agentic AI to drive innovation. Collaborate with architecture, engineering, and software strategy teams to optimize AMD Instinct GPU solutions. Develop clear value propositions, positioning, and collateral to support product messaging for customers and partners. Work with ISVs, GSIs, and OEMs to deliver comprehensive AI-ready enterprise solutions that accelerate adoption. PREFERRED EXPERIENCE: Several years in enterprise software product management, focused on AI/ML or enterprise cloud/edge workloads. Strong understanding of AI software stacks and infrastructure for large-scale deployments. Experience building, managing, or deploying enterprise-scale AI applications. Familiarity with cloud, hybrid, on-premises, and edge deployment environments. Proven track record managing technical products through the full lifecycle. ACADEMIC CREDENTIALS: Bachelor’s degree or higher in Computer Science, Electrical Engineering or closely related field. #LI-EV1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • Senior Cloud Acceleration Specialist  

    Advanced Micro Devices Inc
    - Oxford
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Senior Cloud Acceleration Specialist -Vivado AI Modernization Team The Role : We are seeking a skilled cloud acceleration specialist to join our new team focused on integrating AI technologies into our Vivado EDA design tools. This role is central to designing and implementing advanced cloud acceleration solutions that power our AI-driven Vivado modernization efforts. As part of the Vivado R&D organization, you will leverage your extensive experience from InAccel to create distributed, high-performance computing environments that seamlessly integrate FPGA acceleration with AI-powered design tools in a fast-paced, cutting-edge environment. The Person : The ideal candidate is an experienced cloud acceleration specialist with a strong background in FPGA design methodologies and tool development. You are skilled at collaborating with diverse stakeholders and have extensive experience designing and implementing distributed FPGA acceleration systems across cloud infrastructure. You possess deep knowledge of InAccel platform expertise, microservices architecture, and multi-cloud strategies, with proven expertise in real-time processing and DevOps for hardware. You are passionate about pioneering innovative distributed computing solutions from the ground up. Key Responsibilities : Design distributed cloud acceleration architectures for AI-powered Vivado tools Implement scalable FPGA acceleration services with automatic resource provisioning Develop MCP integrations for FPGA acceleration services Create intelligent workload distribution and load balancing for FPGA resources Develop monitoring and observability solutions for cloud FPGA deployments Preferred Skills and Experience : Extensive experience designing distributed FPGA acceleration systems across cloud infrastructure Strong experience with microservices design patterns and service mesh technologies Experience with CI/CD pipelines for FPGA development and automated testing Knowledge of multi-cloud FPGA acceleration deployment (AWS, Azure, GCP) In-depth knowledge of FPGA design methodologies and tool development #LI-RA1 #LI-Remote Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.Senior Cloud Acceleration Specialist -Vivado AI Modernization Team The Role : We are seeking a skilled cloud acceleration specialist to join our new team focused on integrating AI technologies into our Vivado EDA design tools. This role is central to designing and implementing advanced cloud acceleration solutions that power our AI-driven Vivado modernization efforts. As part of the Vivado R&D organization, you will leverage your extensive experience from InAccel to create distributed, high-performance computing environments that seamlessly integrate FPGA acceleration with AI-powered design tools in a fast-paced, cutting-edge environment. The Person : The ideal candidate is an experienced cloud acceleration specialist with a strong background in FPGA design methodologies and tool development. You are skilled at collaborating with diverse stakeholders and have extensive experience designing and implementing distributed FPGA acceleration systems across cloud infrastructure. You possess deep knowledge of InAccel platform expertise, microservices architecture, and multi-cloud strategies, with proven expertise in real-time processing and DevOps for hardware. You are passionate about pioneering innovative distributed computing solutions from the ground up. Key Responsibilities : Design distributed cloud acceleration architectures for AI-powered Vivado tools Implement scalable FPGA acceleration services with automatic resource provisioning Develop MCP integrations for FPGA acceleration services Create intelligent workload distribution and load balancing for FPGA resources Develop monitoring and observability solutions for cloud FPGA deployments Preferred Skills and Experience : Extensive experience designing distributed FPGA acceleration systems across cloud infrastructure Strong experience with microservices design patterns and service mesh technologies Experience with CI/CD pipelines for FPGA development and automated testing Knowledge of multi-cloud FPGA acceleration deployment (AWS, Azure, GCP) In-depth knowledge of FPGA design methodologies and tool development #LI-RA1 #LI-Remote Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • Solutions Architect (Server/Datacenter) - UK  

    Advanced Micro Devices Inc
    - Cambridge
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Role: We are looking for our next team member to help AMD drive a new era of computing into the datacenter, by engaging with key end users and platform and software partners to demonstrate AMD technology differentiators, addressing their business needs in real world usage scenarios. To provide technical support to strategic commercial end user accounts within their defined region(s) or vertical market(s). Accountable to the commercial sales team and the field engineering director for all aspects of technical engagements required to support sales and account objectives, as well as occasionally provide training to teammates and assist them with their own unique challenges. This position places a special emphasis on platform and end user workload optimization. The FAE will cultivate a deep technical understanding of server processor and accelerator SOC architectures, and the related software stacks, from the enabling platform software through the operating systems, frameworks, and applications. The successful FAE will leverage the synthesis of this knowledge to understand application performance at the node, rack and datacenter and guide the customer. Providing support across: Cloud Service Providers, High Performance Computing, Financial Services Industry, Large Enterprise, Media and Entertainment, Telco Service Providers The Person: Does this sound like you? We'd love to talk! Excellent organizational and communication skills (written, verbal and presentation skills) A good balance of hardware, system architecture and software expertise Able to prioritize, working independently as well as part of a team Proven success building strong internal (sales, marketing, engineering) and external (customer) relationships Willing to travel up to 40% Key Responsibilities: Articulate AMD-based technology offerings across multiple market verticals Provide hands-on, expert-level technical assistance to end-users Partner with other AMD and vendor subject matter specialists to build specific customer solutions Analyze vendor product solutions and evaluate product performance based on customer needs Be a technical advisor to sales in the design and integration of customer applications using AMD based datacenter and client solutions Install and test solutions in-house, as required, to ensure successful deployments and evaluations Lead technical design sessions; architect and detail technical solutions that are aligned with end-user objectives Design and own the execution of evaluations to ensure a quality solution is delivered Gain a solid understanding of the competitive landscape and clearly articulate the technical differentiation and value proposition associated with AMD versus its competitors Preferred Experience: Proven experience as a senior level engineer (or equivalent technical role) combined with successful experience in a customer-facing role Demonstrated knowledge of at least one market vertical(s) including cloud computing, HPC, software defined storage and data analytics Proven understanding of server and accelerator software ecosystem in one or more areas including OS, hypervisors, compilers, frameworks, models, and profiling tools Hands-on experience in the setup and configuration of server systems including software, networking and storage infrastructure A solid knowledge of server hardware ecosystem at the node, rack and datacenter level Experience in application/workload profiling, tuning and performance assessment a plus Academic Credentials: Bachelor’s degree in a technical field or equivalent (Computer Science or Electrical Engineering preferred) Location: United Kingdom #LI-DH1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.The Role: We are looking for our next team member to help AMD drive a new era of computing into the datacenter, by engaging with key end users and platform and software partners to demonstrate AMD technology differentiators, addressing their business needs in real world usage scenarios. To provide technical support to strategic commercial end user accounts within their defined region(s) or vertical market(s). Accountable to the commercial sales team and the field engineering director for all aspects of technical engagements required to support sales and account objectives, as well as occasionally provide training to teammates and assist them with their own unique challenges. This position places a special emphasis on platform and end user workload optimization. The FAE will cultivate a deep technical understanding of server processor and accelerator SOC architectures, and the related software stacks, from the enabling platform software through the operating systems, frameworks, and applications. The successful FAE will leverage the synthesis of this knowledge to understand application performance at the node, rack and datacenter and guide the customer. Providing support across: Cloud Service Providers, High Performance Computing, Financial Services Industry, Large Enterprise, Media and Entertainment, Telco Service Providers The Person: Does this sound like you? We'd love to talk! Excellent organizational and communication skills (written, verbal and presentation skills) A good balance of hardware, system architecture and software expertise Able to prioritize, working independently as well as part of a team Proven success building strong internal (sales, marketing, engineering) and external (customer) relationships Willing to travel up to 40% Key Responsibilities: Articulate AMD-based technology offerings across multiple market verticals Provide hands-on, expert-level technical assistance to end-users Partner with other AMD and vendor subject matter specialists to build specific customer solutions Analyze vendor product solutions and evaluate product performance based on customer needs Be a technical advisor to sales in the design and integration of customer applications using AMD based datacenter and client solutions Install and test solutions in-house, as required, to ensure successful deployments and evaluations Lead technical design sessions; architect and detail technical solutions that are aligned with end-user objectives Design and own the execution of evaluations to ensure a quality solution is delivered Gain a solid understanding of the competitive landscape and clearly articulate the technical differentiation and value proposition associated with AMD versus its competitors Preferred Experience: Proven experience as a senior level engineer (or equivalent technical role) combined with successful experience in a customer-facing role Demonstrated knowledge of at least one market vertical(s) including cloud computing, HPC, software defined storage and data analytics Proven understanding of server and accelerator software ecosystem in one or more areas including OS, hypervisors, compilers, frameworks, models, and profiling tools Hands-on experience in the setup and configuration of server systems including software, networking and storage infrastructure A solid knowledge of server hardware ecosystem at the node, rack and datacenter level Experience in application/workload profiling, tuning and performance assessment a plus Academic Credentials: Bachelor’s degree in a technical field or equivalent (Computer Science or Electrical Engineering preferred) Location: United Kingdom #LI-DH1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • Senior GPU Kernel Development Engineer  

    Advanced Micro Devices Inc
    - Bristol
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SENIOR GPU KERNEL DEVELOPMENT ENGINEER THE ROLE: As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizing cutting-edge compiler technologies and advanced engineering principles to drive continuous improvement. THE PERSON: Skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems. Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance. Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers. Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions. PREFERRED EXPERIENCE: GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. Deep Learning Integration: Experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: Skilled in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions. High-Performance Computing: Solid experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability. Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization. ACADEMIC CREDENTIALS: Bachelor’s and/or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. 3+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development. #LI-DB1 #LI-REMOTE Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.SENIOR GPU KERNEL DEVELOPMENT ENGINEER THE ROLE: As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizing cutting-edge compiler technologies and advanced engineering principles to drive continuous improvement. THE PERSON: Skilled engineer with strong technical and analytical expertise in C++ development within Linux environments. The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream. Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems. Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance. Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers. Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions. PREFERRED EXPERIENCE: GPU Kernel Development & Optimization: Experienced in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. Deep Learning Integration: Experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: Skilled in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions. High-Performance Computing: Solid experienced in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability. Compiler Optimization: Foundational understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization. ACADEMIC CREDENTIALS: Bachelor’s and/or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. 3+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development. #LI-DB1 #LI-REMOTE Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • Hardware IP Verification Methodology Lead  

    Advanced Micro Devices Inc
    - Cambridge
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: AMD Inc. is seeking an experienced Hardware IP Design Verification Lead to drive the strategy, execution, and delivery of top-down functional and formal verification for complex hardware IP blocks and subsystems. This senior technical leader will define and implement a modern design validation strategy, mentor a team of verification leads and engineers, and collaborate cross-functionally to ensure the highest standards of quality and reliability for AMD’s cutting-edge silicon IP portfolio. THE PERSON: The ideal candidate is a strategic thinker and hands-on technical leader with deep expertise in IP and SoC-level verification. You have a proven track record of managing global teams, delivering high-quality designs on aggressive schedules, and deploying advanced verification methodologies. You are passionate about innovation, quality, and continuous improvement, and thrive in fast-paced, cross-functional environments. KEY RESPONSIBILITES: Define a top-down Design Verification Strategy for the next generation IP. Work with all Subsystem leaders to define a DV strategy that fits into the overall strategy. Lead the development and deployment of cutting-edge verification tools and methodologies. Assess existing testbench infrastructure and work with the teams to agree priorities for development/improvements. Work with the project management team to align on DV schedule and resources. Track DV metrics across the project and help to make real-time corrections to DV planning and execution. Escalate risk and opportunities to engineering and project Management. Take part in DV Strategy, Planning and Signoff reviews and act as an ultimate gate for DV signoff. Foster a culture of innovation, top quality, and technical excellence PREFERRED EXPERIENCE: Senior industry experience in SOC and IP Design Verification. Demonstrate deep expertise in Verification tools and Methodologies (e.g. UVM, Formal Verification, FPGA/Emulation, System level verification) as well as in RTL design (Verilog, SystemVerilog) and scripting languages (Python, Shellscript) Proven track record of successful tape-outs on time of major IP and SOCs. Experience leading large multi-national teams on complex semiconductor projects. Solid experience verifying memory interfaces (LPDDR, HBM, GDDR), communication protocols (Mipi, HDMI, SPI, USB, etc) Knowledge/Interest in AI applications to Si DV flow GPU IP experience a definitive plus Excellent communication, leadership, and problem-solving skills, with the ability to work effectively within global, cross-functional teams EDUCATION: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. #LI-EV1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.THE ROLE: AMD Inc. is seeking an experienced Hardware IP Design Verification Lead to drive the strategy, execution, and delivery of top-down functional and formal verification for complex hardware IP blocks and subsystems. This senior technical leader will define and implement a modern design validation strategy, mentor a team of verification leads and engineers, and collaborate cross-functionally to ensure the highest standards of quality and reliability for AMD’s cutting-edge silicon IP portfolio. THE PERSON: The ideal candidate is a strategic thinker and hands-on technical leader with deep expertise in IP and SoC-level verification. You have a proven track record of managing global teams, delivering high-quality designs on aggressive schedules, and deploying advanced verification methodologies. You are passionate about innovation, quality, and continuous improvement, and thrive in fast-paced, cross-functional environments. KEY RESPONSIBILITES: Define a top-down Design Verification Strategy for the next generation IP. Work with all Subsystem leaders to define a DV strategy that fits into the overall strategy. Lead the development and deployment of cutting-edge verification tools and methodologies. Assess existing testbench infrastructure and work with the teams to agree priorities for development/improvements. Work with the project management team to align on DV schedule and resources. Track DV metrics across the project and help to make real-time corrections to DV planning and execution. Escalate risk and opportunities to engineering and project Management. Take part in DV Strategy, Planning and Signoff reviews and act as an ultimate gate for DV signoff. Foster a culture of innovation, top quality, and technical excellence PREFERRED EXPERIENCE: Senior industry experience in SOC and IP Design Verification. Demonstrate deep expertise in Verification tools and Methodologies (e.g. UVM, Formal Verification, FPGA/Emulation, System level verification) as well as in RTL design (Verilog, SystemVerilog) and scripting languages (Python, Shellscript) Proven track record of successful tape-outs on time of major IP and SOCs. Experience leading large multi-national teams on complex semiconductor projects. Solid experience verifying memory interfaces (LPDDR, HBM, GDDR), communication protocols (Mipi, HDMI, SPI, USB, etc) Knowledge/Interest in AI applications to Si DV flow GPU IP experience a definitive plus Excellent communication, leadership, and problem-solving skills, with the ability to work effectively within global, cross-functional teams EDUCATION: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. #LI-EV1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • Staff Software System Design Engineer  

    Advanced Micro Devices Inc
    - Cambridge
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Position Overview: Bring AMD’s leading-edge SoCs to life in a virtual environment! As an early consumer of AMD's next-generation designs, help create high-performance C++ functional models that enable pre-silicon development of firmware, system, driver, and application software. Support emulation acceleration, performance, and power modelling. Enhance our simulation infrastructure and develop innovative, new debug features. The SoC Virtual Model Development Engineer will have broad scope and work with multiple teams to gather SoC and IP component specifications, plan development to meet milestones, build models, and support internal and external stakeholders. You will be a team player on a highly capable and supportive team, working on a project critical to the company’s success. This is a highly visible and impactful role with excellent growth opportunity. We're Looking For: An individual who excels in problem-solving and thrives on creating efficient solutions to complex challenges. You have a strong ability to grasp new concepts and technologies, consistently demonstrating innovation in your approach to improving the status quo. A strong commitment to teamwork, along with a willingness to go the extra mile for the success of the team, is essential. Familiarity with computer/SoC architecture, as well as a solid understanding of system architecture and system software, is highly desirable. Key Responsibilities: Develop high-performance FFMs (Fast-Functional models) for AMD SoCs and platforms using C++. Collaborate closely with internal and external customers to understand and assist in running their workloads on the models. Create test plans and validate model functionality using Python. Improve functionality, stability, and performance of existing models. Develop innovative modelling features to streamline workload debugging. Close collaboration with architecture teams to foster in-depth understanding of new designs. Preferred Experience: Proven experience in designing and implementing maintainable, performant, professional C++11/14/17 code. Familiarity with x86, ARM, or GPU architecture, including drivers and applications. Proficiency in Linux and Windows kernel debugging. Prior involvement in functional modelling, architecture simulation, or hypervisor development. Familiarity with modelling technologies such as QEMU, VirtualBox, SystemC, Gem5, SIMICS, dynamic binary translation, or JIT. Experience of cross-platform development for Linux and Windows environments. Academic Credentials: University degree in Engineering or higher or equivalent experience is preferred. #LI-AW1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.Position Overview: Bring AMD’s leading-edge SoCs to life in a virtual environment! As an early consumer of AMD's next-generation designs, help create high-performance C++ functional models that enable pre-silicon development of firmware, system, driver, and application software. Support emulation acceleration, performance, and power modelling. Enhance our simulation infrastructure and develop innovative, new debug features. The SoC Virtual Model Development Engineer will have broad scope and work with multiple teams to gather SoC and IP component specifications, plan development to meet milestones, build models, and support internal and external stakeholders. You will be a team player on a highly capable and supportive team, working on a project critical to the company’s success. This is a highly visible and impactful role with excellent growth opportunity. We're Looking For: An individual who excels in problem-solving and thrives on creating efficient solutions to complex challenges. You have a strong ability to grasp new concepts and technologies, consistently demonstrating innovation in your approach to improving the status quo. A strong commitment to teamwork, along with a willingness to go the extra mile for the success of the team, is essential. Familiarity with computer/SoC architecture, as well as a solid understanding of system architecture and system software, is highly desirable. Key Responsibilities: Develop high-performance FFMs (Fast-Functional models) for AMD SoCs and platforms using C++. Collaborate closely with internal and external customers to understand and assist in running their workloads on the models. Create test plans and validate model functionality using Python. Improve functionality, stability, and performance of existing models. Develop innovative modelling features to streamline workload debugging. Close collaboration with architecture teams to foster in-depth understanding of new designs. Preferred Experience: Proven experience in designing and implementing maintainable, performant, professional C++11/14/17 code. Familiarity with x86, ARM, or GPU architecture, including drivers and applications. Proficiency in Linux and Windows kernel debugging. Prior involvement in functional modelling, architecture simulation, or hypervisor development. Familiarity with modelling technologies such as QEMU, VirtualBox, SystemC, Gem5, SIMICS, dynamic binary translation, or JIT. Experience of cross-platform development for Linux and Windows environments. Academic Credentials: University degree in Engineering or higher or equivalent experience is preferred. #LI-AW1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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  • Senior Emulation Methodology Engineer  

    Advanced Micro Devices Inc
    - Cambridge
    Apply Now
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transformin... Read More
    WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Role Are you interested in AMD’s groundbreaking Emulation and Prototyping Methodology team and drive the future of innovation? Be at the forefront of revolutionizing next-gen products with cutting-edge Emulation, Prototyping and Hybrid solutions. You'll be part of the team that crafts state-of-the-art HW/SW tools, boosts RTL validation and debugging, and accelerates product readiness for PreSilicon/PostSilicon validation. Collaborate with teams, shape emulation strategies, and pioneer automation breakthroughs that redefine efficiency & productivity. The Person You are adept at problem-solving and thrive on developing efficient solutions to complex problems. You can quickly grasp new concepts and technologies, and are innovative and always looking for ways to improve the status quo. You are an excellent communicator, a great teammate and willing to go the extra mile to ensure success. KEY RESPONSIBILITIES: Collaborate with worldwide project teams to develop and adopt new methodologies that drive AMD’s state of the art emulation and prototyping environment and achieve product time to market goals Leverage deep understanding of emulation and prototyping platform capabilities to unblock program execution (triage infrastructure, design implementation, firmware, and software workloads) Research and enable new technology and infrastructure to deliver new capabilities and efficiencies that advance pre-silicon validation Partner with emulation vendors on new platform definition, qualification, and deployment to ensure it meets AMD key requirements and performance metrics (compile time, runtime, capacity, test execution) Integrate and bring-up 3rd party accelerated verification interfaces like PCIe, Memory device models, UART, JTAG, I2C, USB and Ethernet Deploy ML/AI applications across AMD to scale for increasing emulation demands PREFERRED EXPERIENCE: Strong debugging and problem-solving skills Experience with at least one leading EDA Vendor's Emulation or prototyping technologies (Veloce, Palladium, Protium, Zebu and HAPs) Deep Understanding of CPU/GPU, modern systems architecture, and strong understanding of at least one of the following protocols – PCIe, DRAM, Ethernet, AMBA, and CXL Experience in RTL design, verification, and embedded Firmware/BIOS Experience with SystemVerilog, C++, Perl or Python. Experience with transactors and C-DPI methodology for emulation environments Experience debugging with waveform analyzers (Verdi or Visualizer) and Embedded Code Debug Solutions Knowledge of hybrid emulation technologies Knowledge of power estimation and UPF based emulation ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in computer engineering/Electrical Engineering #LI-SC3 #LI-HYBRID #EMULATION-UK Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.The Role Are you interested in AMD’s groundbreaking Emulation and Prototyping Methodology team and drive the future of innovation? Be at the forefront of revolutionizing next-gen products with cutting-edge Emulation, Prototyping and Hybrid solutions. You'll be part of the team that crafts state-of-the-art HW/SW tools, boosts RTL validation and debugging, and accelerates product readiness for PreSilicon/PostSilicon validation. Collaborate with teams, shape emulation strategies, and pioneer automation breakthroughs that redefine efficiency & productivity. The Person You are adept at problem-solving and thrive on developing efficient solutions to complex problems. You can quickly grasp new concepts and technologies, and are innovative and always looking for ways to improve the status quo. You are an excellent communicator, a great teammate and willing to go the extra mile to ensure success. KEY RESPONSIBILITIES: Collaborate with worldwide project teams to develop and adopt new methodologies that drive AMD’s state of the art emulation and prototyping environment and achieve product time to market goals Leverage deep understanding of emulation and prototyping platform capabilities to unblock program execution (triage infrastructure, design implementation, firmware, and software workloads) Research and enable new technology and infrastructure to deliver new capabilities and efficiencies that advance pre-silicon validation Partner with emulation vendors on new platform definition, qualification, and deployment to ensure it meets AMD key requirements and performance metrics (compile time, runtime, capacity, test execution) Integrate and bring-up 3rd party accelerated verification interfaces like PCIe, Memory device models, UART, JTAG, I2C, USB and Ethernet Deploy ML/AI applications across AMD to scale for increasing emulation demands PREFERRED EXPERIENCE: Strong debugging and problem-solving skills Experience with at least one leading EDA Vendor's Emulation or prototyping technologies (Veloce, Palladium, Protium, Zebu and HAPs) Deep Understanding of CPU/GPU, modern systems architecture, and strong understanding of at least one of the following protocols – PCIe, DRAM, Ethernet, AMBA, and CXL Experience in RTL design, verification, and embedded Firmware/BIOS Experience with SystemVerilog, C++, Perl or Python. Experience with transactors and C-DPI methodology for emulation environments Experience debugging with waveform analyzers (Verdi or Visualizer) and Embedded Code Debug Solutions Knowledge of hybrid emulation technologies Knowledge of power estimation and UPF based emulation ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in computer engineering/Electrical Engineering #LI-SC3 #LI-HYBRID #EMULATION-UK Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Read Less
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