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Member of Technical Staff, Kernels

Magic· Engineering
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Hybrid (San Francisco or Remote)$275k - $550kfull-timePosted 10mo ago

About the role

Kernel Engineer role to design, implement, and maintain high-performance kernels to optimize throughput and latency during training and inference, with a focus on long-context behavior and memory/data movement challenges.

Responsibilities

  • Design and implement kernels that support high-performance long-context behavior
  • Ownership of kernel design, implementation, deployment, and production reliability
  • Focus on robustness, extensive testing, and functional correctness, while pushing on performance
  • Evaluate porting Magic’s compute kernels to alternative hardware options
  • Co-design kernels with understanding and interaction with training, inference, and RL teams
  • Sample work reference: Magic-Attention, presented at GTC 2026

Qualifications

  • Low-level programming experience targeting AI accelerators such as NVIDIA Blackwell or Google TPUs
  • Develop and optimize GPU kernels in frameworks such as NCCL, MSCCLPP, CUTLASS, CuTeDSL, Triton, Quack, Flash-Attention, and similar frameworks
  • Experience in other kernel authoring frameworks such as Pallas/Mosaic or Mojo
  • Strong depth in computer architecture, low-level machine optimizations, and code generation with breadth across ML
  • Agility, ownership mindset, and grit

Skills

Required:Low-level programmingGPU kernel developmentFramework experienceArchitecture and optimization

Benefits

  • Annual salary ranges between $275K - $550K based on experience
  • Equity is a significant part of total compensation, in addition to salary
  • 401(k) plan with 6% salary matching
  • Generous health, dental and vision insurance for you and your dependents
  • Unlimited paid time off
  • Visa sponsorship and relocation stipend to bring you to SF, if possible
  • A small, fast-paced, highly focused team
Last updated Oct 21, 2026. Interested? Apply on the company site.
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