Lead Datacenter GPU Performance Architect

Advanced Micro Devices, Inc.; Austin (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Advanced Micro Devices, Inc. is seeking an experienced software engineering lead to enhance the performance of leading AI models and agentic workloads.

You will join a core team of experts and collaborate across AMD on cutting-edge hardware and software technologies. The ideal candidate has a strong background in low-level software engineering, debugging complex platform bottlenecks, and communicating effectively with cross-functional teams.

Qualifications

• Bachelor's or Master's degree in CS/CE/EE or equivalent.
• Extensive low-level GPU performance optimization experience.
• Experience debugging multi-node communication and performance bottlenecks.
• Experience with software development tools and processes (debuggers, GitHub, profilers).
• Strong communication and problem-solving skills.

Responsibilities

• Work with AMD's architecture specialists to improve future products.
• Apply a data minded approach to target optimization efforts.
• Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture.
• Design and develop new groundbreaking AMD technologies.
• Participating in new ASIC and hardware bring ups
• Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
• Develop technical relationships with peers and partners

Skills

Low-level GPU perf optimization

Debugging complex bottlenecks

Multi-node performance issues

Concurrent programming

C/C++ proficiency

Communication & problem-solving

GitHub / profiling tools

Education

Bachelor's or Master's in CS/CE/EE

Tools

GitHub

Profilers

Debuggers

Job description

Advanced Micro Devices, Inc. is seeking an experienced software engineering lead to enhance the performance of leading AI models and agentic workloads.

You will join a core team of experts and collaborate across AMD on cutting-edge hardware and software technologies. The ideal candidate has a strong background in low-level software engineering, debugging complex platform bottlenecks, and communicating effectively with cross-functional teams.