Magic
Member of Technical Staff, Kernels
San Francisco · Staff+
Sponsorship not specified$225k-$550kDetected 909 days ago
Machine LearningResearch
About the role
- Focus on robustness, extensive testing, and functional correctness, while pushing on performance
- Evaluate porting Magic's compute kernels to alternative hardware options
- For a sample of our work, see Magic-Attention, presented at GTC 2026 https://www.nvidia.com/gtc/session-catalog/sessions/gtc26-s82294/
Responsibilities
- As a Kernel Engineer, you will design, implement, and maintain high-performance kernels to optimize throughput and latency during training and inference.
- Design and implement kernels that support high-performance long-context behavior
- Ownership of kernel design, implementation, deployment, and production reliability
- Co-design kernels with understanding and interaction with training, inference, and RL teams
- Hands-on. At Magic, everyone is building
Requirements
- 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
Compensation
- Annual salary ranges between $225K - $550K based on experience
- 401(k) plan with 6% salary matching
Benefits
- Equity is a significant part of total compensation, in addition to salary
- 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
Company info
- Magic's mission is to build safe AGI that accelerates humanity's progress on the world's most important problems.
Visa & Work Authorization
- Visa sponsorship and relocation stipend to bring you to SF, if possible
This listing is sourced directly from Magic's careers page and normalized into a canonical job model.