11 gpu performance profiling engineer jobs at 9 companies in Fairfield, CA
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GPU Kernel Engineer
San Francisco, California, United States
$180k-$280k/yrOnsiteFull Time
TypeSafe AI: Private frontier AI lab building reliable, general AI systems for real-world automation and decision-making.
Deep CUDA/GPU kernel expertise, experience building and optimizing training and inference kernels, LLM training experience, profiling and eliminating performance bottlenecks.
Member of Technical Staff, AMD GPU Performance Engineering
San Francisco, California, United States
$200k-$400k/yrOnsiteFull Time
Inferact: Private AI infrastructure building open-source software that makes LLM inference faster and cheaper.
Bachelor's or equivalent experience; hands-on AMD GPU optimization using ROCm/HIP/Triton/CK/AITER; deep understanding of AMD GPU execution, memory, toolchains; experience optimizing ML kernels and strong profiling/benchmarking skills.
Staff Software Engineer - Video Performance - (Bay area only)
San Francisco, California, United States
$251k-$329k/yrOnsiteFull Time
Canva: Online graphic design and visual communication platform.
Strong C++ proficiency; experience optimizing multithreaded systems, graphics APIs, multimedia, profiling, telemetry, and CPU/GPU architectures. Systems language experience and performance engineering expertise are valued.
Google DeepMind: Google DeepMind is a private AI research laboratory developing safe artificial intelligence systems for Alphabet.
2+ YOEBachelor’s degree or equivalent practical experience; 2+ years developing in C++ or Python; profiling tools; hardware accelerator software development; memory-hierarchy or instruction-level tuning.
Zensors: AI technology helping airports, retailers, and other large physical businesses automate operations with spatial intelligence.
BS/MS/PhD in CS or EE; strong C/C++ and Python; model optimization, quantization, pruning; GPU performance tuning; profiling tools; cross-functional collaboration.
Anthropic: AI research developing safe and steerable AI systems.
Senior IC with deep systems or ML infrastructure experience, hands-on performance profiling and optimization, accelerator ecosystem expertise (CUDA/TPU/Trainium), strong software engineering and cross-org alignment skills, and a relevant bachelor’s degree or equivalent.
Principal Physics Programmer, C++ (Modeling & Simulation)
San Francisco, California, United States
HybridFull Time
Code Metal: AI software translating, verifying, and optimizing code for mission-critical industries deploying software on specialized hardware.
8+ YOE8+ years professional C++ development building performance-critical real-time systems; experience with game-engine or engine-level systems, data-oriented design, concurrency, profiling, and optimization; eligibility for Secret clearance.