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GPU Kernel Engineer

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GPU Kernel Engineer in USA new

  • Sciforium
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Design, implement, and optimize custom GPU kernels for large-scale AI systems.
  • Profile ML operations, develop performance models, identify bottlenecks, and improve training and inference performance.
  • Integrate low-level kernels into PyTorch, JAX, and internal runtimes.
  • Collaborate with ML researchers, distributed systems engineers, model-serving teams, and NVIDIA/AMD hardware vendors.
  • Contribute to tooling, documentation, benchmarking suites, and testing frameworks.

Requirements

  • At least 5 years of industry or research experience in GPU kernel development or high-performance computing.
  • Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field.
  • Strong programming skills in C++ and Python and familiarity with ML frameworks.
  • Deep expertise in CUDA/ROCm, GPU memory models, and performance optimization.
  • Hands-on experience with Triton and/or JAX Pallas, PTX, GPU ASM, and custom GPU kernel development.
  • Experience integrating low-level kernels into PyTorch, JAX, or similar frameworks.
  • Experience with large-scale LLM training or inference workloads.
  • Preferred: AMD GPU and ROCm optimization, JAX FFI, custom ML operators, vLLM, TensorRT, TPUs, XLA, or open-source ML systems, compilers, or GPU kernels.

Benefits

  • Medical, dental, and vision insurance.
  • 401k plan.
  • Daily lunch, snacks, and beverages.
  • Flexible time off.
  • Competitive salary and equity.

Salary: $190k - $250k/yr

Sciforium

Sciforium is a dynamic marketplace that connects science fiction enthusiasts with a curated selection of books, collectibles, and fan experiences. We empower creators and fans alike by offering a platform that celebrates imagination, community, and the limitless possibilities of speculative story...

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