Senior GPU Performance Engineer for AI Systems

AMD; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

AMD's Datacenter Performance Group seeks a Senior Member of Technical Staff GPU Performance Software Engineer to drive performance analysis, software/hardware co-design, and architecture evaluation for next‑generation AI systems.

You will work at the intersection of software, architecture, and performance engineering, analyzing AI workloads and system behavior to identify opportunities and influence future GPU designs.

Qualifications

• Strong software development experience in C/C++ and performance-sensitive systems.
• Deep understanding of computer architecture, performance analysis, and optimization.
• Experience with GPU architectures and GPU software stacks (programming models, runtimes, drivers, firmware, or performance tools).
• Experience with distributed and multi-GPU systems, including communication and synchronization technologies (RCCL, MPI).
• Experience using profiling, debugging, and tracing tools to analyze complex software and system performance issues.
• Demonstrated ability to leverage AI-assisted development tools and automation to solve complex problems.
• Familiarity with AI/ML workloads, GPU kernel development, or AI inference frameworks is a plus.

Responsibilities

• Analyze AI workloads on current and future GPU-based systems to identify bottlenecks and optimization opportunities across the software stack.
• Collaborate with architecture teams to evaluate, prototype, and influence next-generation GPU features through data-driven analysis and SW/HW co-design.
• Develop performance studies, benchmarks, and prototypes to assess architectural tradeoffs and estimate impact of future hardware capabilities.
• Investigate system-level performance across single-GPU, multi-GPU, and rack-scale environments, including communication, synchronization, memory, and workload distribution effects.
• Participate in pre-silicon architecture evaluation and post-silicon performance validation, driving improvements across hardware and software teams.

Skills

C/C++

Computer architecture

GPU architectures / software stacks

Distributed & multi-GPU systems

Profiling tools

AI-assisted development tools

Leadership / communication

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Master's degree or PhD preferred

Tools

RCCL / MPI

GPU profilers

Job description

AMD's Datacenter Performance Group seeks a Senior Member of Technical Staff GPU Performance Software Engineer to drive performance analysis, software/hardware co-design, and architecture evaluation for next‑generation AI systems.

You will work at the intersection of software, architecture, and performance engineering, analyzing AI workloads and system behavior to identify opportunities and influence future GPU designs.