Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE ROLE AMD is seeking a Senior Software Development Engineer to develop and optimize software for next-generation AI and GPU computing platforms. You will work across GPU kernel development, performance optimization, AI frameworks, runtime systems, and compiler technologies to deliver industry-leading performance for AI and high-performance computing workloads. THE PERSON The ideal candidate has strong experience in GPU programming, performance analysis, and systems software development . You understand how AI workloads execute on modern GPU hardware and can identify performance bottlenecks across kernels, runtime, libraries, and compiler-generated code. Experience with MLIR/LLVM-based compiler flows is valuable but not the primary focus of the role. KEY RESPONSIBILITIES • Develop and optimize GPU kernels for AI and compute workloads. • Analyze and improve GPU performance, including compute utilization, memory bandwidth, cache efficiency, and kernel execution. • Collaborate with AI framework, runtime, library, and hardware teams to improve end-to-end workload performance. • Profile, benchmark, and debug large-scale AI workloads on AMD GPU platforms. • Support compiler-driven optimizations and code generation using LLVM and MLIR-based technologies. • Improve performance analysis, testing, benchmarking, and automation infrastructure. • Enable and optimize new GPU hardware capabilities through software innovation. • Apply AI-assisted development tools to improve productivity, debugging, and optimization workflows. PREFERRED QUALIFICATIONS • Strong C/C++ development skills. • Experience with HIP, CUDA, OpenCL, or other GPU programming models . • Strong understanding of GPU architecture, parallel programming, memory hierarchy, synchronization, and performance optimization. • Hands-on experience profiling and optimizing AI, machine learning, HPC, or graphics workloads. • Experience with performance analysis tools and benchmarking methodologies. • Knowledge of LLVM, MLIR, compiler optimization, or code generation techniques . • Experience with AI frameworks such as PyTorch, ONNX Runtime, TensorFlow, or similar ecosystems. • Strong problem-solving and debugging skills across software and hardware stacks. ACADEMIC CREDENTIALS: • Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline #LI-JG1 This role is not eligible for visa sponsorship. 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Requirements

Must-haves

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
Develop and optimize GPU kernels for AI and compute workloads.
Analyze and improve GPU performance, including compute utilization, memory bandwidth, cache efficiency, and kernel execution.
Collaborate with AI framework, runtime, library, and hardware teams to improve end-to-end workload performance.
Profile, benchmark, and debug large-scale AI workloads on AMD GPU platforms.
Support compiler-driven optimizations and code generation using LLVM and MLIR-based technologies.
Improve performance analysis, testing, benchmarking, and automation infrastructure.
Enable and optimize new GPU hardware capabilities through software innovation.
Apply AI-assisted development tools to improve productivity, debugging, and optimization workflows.
Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline
Benefits offered are described: AMD benefits at a glance .
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.

Nice-to-haves

Strong C/C++ development skills.
Experience with HIP, CUDA, OpenCL, or other GPU programming models .
Strong understanding of GPU architecture, parallel programming, memory hierarchy, synchronization, and performance optimization.
Hands-on experience profiling and optimizing AI, machine learning, HPC, or graphics workloads.
Experience with performance analysis tools and benchmarking methodologies.
Knowledge of LLVM, MLIR, compiler optimization, or code generation techniques .
Experience with AI frameworks such as PyTorch, ONNX Runtime, TensorFlow, or similar ecosystems.
Strong problem-solving and debugging skills across software and hardware stacks.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: amd
Effort: medium