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 pretraining, 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. WHAT YOU'LL WORK ON - 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 - For a sample of our work, see Magic-Attention, presented at GTC 2026 nvidia.com 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 developer.nvidia.com, MSCCLPP github.com, CUTLASS github.com, CuTeDSL docs.nvidia.com, Triton github.com, Quack github.com, Flash-Attention github.com, and similar frameworks - Experience in other kernel authoring frameworks such as Pallas docs.jax.dev (GPU docs.jax.dev or TPU docs.jax.dev), or Mojo modular.com also maps well to the work on Magic's kernel team - 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 - Agility, ownership mindset, and grit 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 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. COMPENSATION, BENEFITS AND PERKS (US) - 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

Requirements

Must-haves

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.
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
For a sample of our work, see Magic-Attention, presented at GTC 2026 https://www.nvidia.com/gtc/session-catalog/sessions/gtc26-s82294/
Low-level programming experience targeting AI accelerators such as NVIDIA Blackwell or Google TPUs
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
Agility, ownership mindset, and grit
Annual salary ranges between $275K - $550K based on experience
Equity is a significant part of total compensation, in addition to salary
Visa sponsorship and relocation stipend to bring you to SF, if possible
A small, fast-paced, highly focused team

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off