Senior Kernel Engineer

Magic United State
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

We're seeking an experienced Senior Kernel Engineer to design, implement, and maintain high-performance kernels. As a key member of our team, you will be responsible for optimizing kernels to accelerate throughput and latency during training and inference. You will work closely with our team to achieve our mission of building safe AGI that accelerates humanity's progress.

Key Highlights
Design, implement, and maintain high-performance kernels
Optimize kernels for AI accelerators and frameworks
Collaborate with our team to achieve our mission
Key Responsibilities
Design, develop, and optimize custom high-performance GPU kernels
Evaluate porting Magic's compute kernels to alternative hardware options
Co-design kernel with understanding and interaction with training, inference, and RL teams
Technical Skills Required
Low-level programming GPU kernel development AI accelerator programming
Benefits & Perks
Annual salary $225K - $550K
Equity
401(k) plan with 6% salary matching
Generous health, dental, and vision insurance
Unlimited paid time off
Visa sponsorship
Relocation stipend

Job Description


Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.

About the role:

As a Kernel Engineer, you will design, implement, and maintain high-performance kernels to optimize throughput and latency during training and inference.

Magic's long-context windows create distinct kernel optimization challenges around memory utilization, data movement, and sustained throughput.

Shared expectations

  • 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
  • Strong depth over shallow breadth: for kernel engineering, we prefer candidates with deep expertise in computer architecture, low-level machine optimizations, and code generation, with breadth across ML

What you might work on:

  • Design, develop and optimize custom high-performance GPU kernels
  • Evaluate porting Magic’s compute kernels to alternative hardware options
  • Co-design kernel with understanding and interaction with training, inference, and RL teams
  • For a sample of our work, see Magic-Attention, presented at GTC 2026

What we’re looking for:

  • 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 (GPU or TPU), or Mojo also maps well to the work on Magic's kernel team
  • Agility, ownership mindset, and grit

Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.

Our culture:

  • Integrity. Words and actions should be aligned
  • Hands-on. At Magic, everyone is building
  • Teamwork. We move as one team, not N individuals
  • Focus. Safely deploy AGI. Everything else is noise
  • Quality. Magic should feel like magic

Compensation, benefits and perks (US):

  • Annual salary ranges between $225K - $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

Compensation Range: $225K - $550K


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