Staff GPU AI Software Architect: Vision & ML Ops

Advanced Micro Devices

Santa Clara (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Advanced Micro Devices seeks a Staff Software Developer to advance AI software on AMD GPUs, spanning low-level kernel work to large-scale distributed systems. You will shape the ROCm ecosystem and drive performance improvements across AI workloads.

The role emphasizes deep C++/HIP/CUDA proficiency, experience with LLMs, and leadership in cross-team collaboration. A strong foundation in AI systems and kernel optimization is essential for this high-impact position.

Qualifications

  • Senior role requiring blend of software, GPU computing, and AI expertise.
  • Extensive GPU programming experience and optimizing deep learning kernels.
  • Strong C++ and object-oriented design skills.
  • Experience or expertise with ROCm/HIP is a plus.
  • Familiarity with LLMs and AI systems, transformer architectures.

Responsibilities

  • Architect and drive the AI software stack from low-level GPU kernels to large-scale distributed systems.
  • Accelerate foundational models and autonomous AI agents.
  • Contribute to the co-design lifecycle of hardware and software for AMD GPUs.
  • Mentor other engineers and communicate technical direction across teams.
  • Bridge kernel engineering with AI post-training (RL) experience.

Skills

C++ expertise
HIP/CUDA programming
GPU kernel optimization
AI systems knowledge
Kernel engineering
Multi-GPU systems
Transformer architectures
Performance profiling

Education

Bachelors or Masters in CS/EE/CE
AI/ML publications

Tools

ROCm
NVIDIA Nsight
CUDA libraries
PyTorch
TensorFlow

Job description

Advanced Micro Devices seeks a Staff Software Developer to advance AI software on AMD GPUs, spanning low-level kernel work to large-scale distributed systems. You will shape the ROCm ecosystem and drive performance improvements across AI workloads.

The role emphasizes deep C++/HIP/CUDA proficiency, experience with LLMs, and leadership in cross-team collaboration. A strong foundation in AI systems and kernel optimization is essential for this high-impact position.

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