Principal Software Development Eng. - AI Performance in San Jose, California | Advanced Micro Devices, Inc

Amd

Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$240,000–$240,000 / yr
Posted
105 days ago
Closes
Feb 26, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $240k
$159k most similar roles pay here $249k

This role pays more than 78% of similar roles. Most pay $167,437–$238,850 — the shaded band above. At the midpoint, this role pays about $240k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 71 open roles on FindRole.

Listed pay typically runs $178,400–$178,400 across 71 roles with salary data.

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At a glance

TL;DR · Principal Software Development Eng. - AI Performance in San Jose, California | Advanced Micro Devices, Inc

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AMD seeks a Principal Engineer to lead a team driving the performance and scalability of AI workloads on AMD GPUs, focusing on large language models and advanced architectures. This role involves setting technical direction, making critical architecture decisions, and optimizing GPU kernels and serving frameworks. The ideal candidate has over 10 years of experience in GPU computing, HPC, or AI systems, with expertise in GPU micro-architecture, memory hierarchy, and performance engineering. Proficiency in C++, Python, and tools like HIP, CUDA, and LLVM is essential, along with hands-on contributions to open-source frameworks such as PyTorch and vLLM. The candidate should also have a strong background in multi-GPU communication and system-level design, influencing technical direction across teams while mentoring engineers and raising the technical bar within AMD.

Skills

CUDA HIP Python C++ LLVM MLIR Triton Gluon PyTorch vLLM SGLang xDiT Megatron LM Linux GPU HPC AI systems roofline analysis performance engineering multi-GPU communication

What you'll do

  • Define and drive long-term technical strategy for AI workload performance on AMD GPUs.
  • Own complex cross-stack performance challenges from kernel optimization to framework-level architecture decisions.
  • Lead design and implementation of novel GPU kernels, compiler optimizations, and framework features.
  • Establish performance methodology and roofline analysis practices setting the standard for the team.
  • Influence upstream roadmaps in major open-source AI frameworks like vLLM and PyTorch.

What we're looking for

  • 10+ years of experience in GPU computing, HPC, or AI systems
  • Deep understanding of GPU micro-architecture and end-to-end AI systems
  • Experience designing and optimizing across the full stack from low-level kernels to frameworks
  • Strong background in performance engineering including profiling and roofline analysis
  • Hands-on experience with major open-source AI frameworks and GPU compiler toolchains
  • Track record of leading small technical teams while remaining hands-on
  • Master's or PhD in Computer Science, Engineering, or related field

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