Principal / Senior GPU SW Performance Engineer - PostTraining

Advanced Micro Devices, Inc.; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Advanced Micro Devices, Inc. is seeking a driven performance engineer to optimize posttraining workloads on AMD Instinct GPUs in San Jose, CA. The role involves collaborating on complex issues across various teams to enhance efficiency, stability, and throughput in training pipelines.

The ideal candidate will have a strong foundation in deep learning, proficiency in GPU performance engineering, and experience with tools like PyTorch. You will work on optimizing multiGPU training solutions and delivering reproducible pipelines for internal and external developers.

Qualifications

• Proven experience in GPU performance engineering for deep learning.
• Hands-on with SFT, LoRA and RL-based training at scale.
• Comfortable reading/writing kernels when needed.

Responsibilities

• Lead performance for finetuning and RL training solutions on AMD GPUs.
• Improve throughput, memory efficiency, and stability across data, model and optimizer steps.
• Optimize multiGPU/multinode training and communication patterns.

Skills

GPU performance engineering

Deep learning frameworks (ROCm/HIP, Triton)

Strong PyTorch experience

Proficient in Python and C++

Experience with distributed systems

Education

B.S./M.S./Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE:

Drive the performance of posttraining workloads on AMD Instinct GPUs. You’ll work across kernels, distributed training, and framework integrations to deliver fast, stable, and reproducible training pipelines on ROCm.

THE PERSON:

The ideal candidate is passionate about software engineering and the craft of training performance. You lead sophisticated cross‑stack issues spanning data loaders, kernels, distributed training, and compilers to clear resolution. You communicate crisply and collaborate effectively with framework, compiler, kernel, and model teams across AMD, driving measurable improvements with rigor, ownership, and reproducibility.

KEY RESPONSIBILITIES:

• Lead performance for finetuning and RL training solutions on AMD GPUs.
• Improve throughput, memory efficiency, and stability across data, model and optimizer steps.
• Optimize multiGPU/multinode training and communication patterns.
• Contribute efficient kernels/ops and targeted graph‑level optimizations.
• Profile, diagnose and resolve bottlenecks using standard tooling; prevent regressions in CI.
• Ship reproducible pipelines and documentation adopted by internal teams and external developers.
• Collaborate with framework, compiler, and model teams to land durable improvements.

PREFERRED EXPERIENCE:

• Proven GPU performance engineering for deep learning (ROCm/HIP, Triton, or similar).
• Hands‑on with SFT, LoRA and RL‑based training at scale.
• Strong PyTorch experience (torch.distributed, FSDP/ZeRO or equivalent).
• Proficient in Python and C++; comfortable reading/writing kernels when needed.
• Experience with distributed systems and collective communication libraries.
• Track record of turning profiles into fixes, upstreaming changes, and documenting results.

ACADEMIC CREDENTIALS:

• B.S./M.S./Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

LOCATION:

San Jose, CA preferred. Other US based locations may be considered.

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.