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Senior GPU Performance Software Engineer

AMD· Engineering
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Hybrid (Austin, TX)$174.4kFull-timePosted 2w ago

About the role

Senior GPU Performance Software Engineer focused on pre-silicon architecture evaluation, SW/HW co-design, and performance analysis for next-generation GPU-based AI systems within AMD's Datacenter Performance Group.

Responsibilities

  • Analyze AI workloads on current and future GPU-based systems to identify performance bottlenecks and optimization opportunities across the software stack.
  • Collaborate with architecture teams to evaluate, prototype, and influence next-generation GPU features through data-driven performance analysis and SW/HW co-design.
  • Develop performance studies, benchmarks, and software prototypes to assess architectural tradeoffs and estimate the 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.

Qualifications

  • Strong software development experience in C/C++ with a focus on performance-sensitive systems.
  • Strong understanding of computer architecture, performance analysis, and optimization techniques.
  • Experience with GPU architectures and GPU software stacks, including programming models, runtimes, drivers, firmware, or performance tools.
  • Experience with distributed and multi-GPU systems, including communication and synchronization technologies such as RCCL, MPI, or similar frameworks.
  • Experience using profiling, debugging, and tracing tools to analyze complex software and system performance issues.
  • Demonstrated ability to leverage AI-assisted development tools, intelligent agents, and automation techniques to solve complex technical problems, accelerate analysis, and improve engineering effectiveness.
  • Familiarity with AI/ML workloads, GPU kernel development, or AI inference frameworks is a plus.
  • Excellent problem-solving, communication, and technical leadership skills.

Skills

Required:C/C++Computer architectureGPU architectures and software stacksProfiling/Debugging/TracingCommunication/leadership
Nice to have:Distributed/multi-GPU systemsAI-assisted development toolsAI/ML workloads familiarity

Benefits

  • Benefits offered are described: AMD benefits at a glance.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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