Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops

• This is a senior role that requires a unique blend of expertise across software engineering, GPU computing, and artificial intelligence. The ideal candidate will possess: Lengthy professional software development experience in performance-critical environments. Extensive hands-on experience in GPU programming (HIP/CUDA) and optimizing deep learning kernels and operators. Computer vision expertise A fundamental understanding of GPU architecture and memory hierarchy, used to diagnose and resolve complex performance bottlenecks. Expert-level proficiency in modern C++ and object-oriented design. Deep experience using GPU profiling and performance analysis tools (e.g., AMD ROCm Profiler, NVIDIA Nsight) to diagnose and resolve complex bottlenecks in distributed, multi-GPU systems. Deep knowledge of transformer architectures, attention mechanisms, and modern AI systems (Generative AI, Agentic AI). Hands-on experience optimizing the post-training and inference pipelines of Large Language Models (LLMs). Strong technical ownership, communication, and problem-solving skills with a track record of delivering complex technical solutions. Plus : Experience or deep expertise with the AMD ROCm/HIP ecosystem.
• Lengthy professional software development experience in performance-critical environments. Extensive hands-on experience in GPU programming (HIP/CUDA) and optimizing deep learning kernels and operators.
• Computer vision expertise
• A fundamental understanding of GPU architecture and memory hierarchy, used to diagnose and resolve complex performance bottlenecks.
• Expert-level proficiency in modern C++ and object-oriented design.
• Deep experience using GPU profiling and performance analysis tools (e.g., AMD ROCm Profiler, NVIDIA Nsight) to diagnose and resolve complex bottlenecks in distributed, multi-GPU systems.
• Deep knowledge of transformer architectures, attention mechanisms, and modern AI systems (Generative AI, Agentic AI).
• Hands-on experience optimizing the post-training and inference pipelines of Large Language Models (LLMs).
• Strong technical ownership, communication, and problem-solving skills with a track record of delivering complex technical solutions.
• Plus : Experience or deep expertise with the AMD ROCm/HIP ecosystem.

• Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
• Relevant publications in AI/ML, GPU computing, or system optimization are highly valued.

This role is not eligible for visa sponsorship.

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.