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Sr. Software Engineer, Kernels/CUDA

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Sr. Software Engineer, Kernels/CUDA in USA new

  • Palo Alto, CA

Responsibilities

  • Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads.
  • Develop and tune low-level CUDA kernels, including GeMM and attention kernels, using CUTLASS, Tensor Cores, and Nsight.
  • Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi-GPU operations.
  • Collaborate with AI research teams to deliver production-grade performance and scalability.

Requirements

  • At least 5 years of experience with low-level systems programming in C/C++.
  • Deep low-level systems-programming experience with C, C++, PTX, or SASS.
  • Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale.
  • Hands-on experience with GPU kernel optimization, including CUTLASS, custom kernels, and Nsight profiling.
  • A track record of building or operating high-performance infrastructure for AI training or inference workloads.
  • Ability to optimize memory-bound and compute-bound workloads from first principles.

Benefits

  • Equity.
  • Comprehensive medical, vision, and dental coverage.
  • 401(k) retirement plan.
  • Short- and long-term disability insurance.
  • Life insurance, discounts, and other perks.

Salary: $200k - $375k/yr

xAI

xAI builds advanced AI systems designed to deeply understand the universe and support humanity's quest for knowledge. Targeting innovators and thinkers, our platform emphasizes engineering excellence and hands-on collaboration, fostering an environment where curiosity drives results.

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