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Magic

AI-powered code generation and collaboration

Kernel Engineer - Kernels

Systems Software EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Low-level programming experience targeting artificial intelligence accelerators such as NVIDIA Blackwell or Google Tensor Processing Units.
  • Develop and optimize graphics processing unit kernels using frameworks such as NCCL, MSCCLPP, CUTLASS, CuTeDSL, Triton, Quack, Flash-Attention, or similar frameworks.
  • Experience with other kernel-authoring frameworks such as Pallas/Mosaic for GPU or TPU, or Mojo, is relevant to the work.
  • Deep expertise in computer architecture, low-level machine optimizations, and code generation, with breadth across machine learning.

Responsibilities

  • Design and implement kernels that support high-performance long-context behavior.
  • Own kernel design, implementation, deployment, and production reliability.
  • Ensure robustness, extensive testing, and functional correctness while improving performance.
  • Evaluate porting Magic’s compute kernels to alternative hardware options.
  • Co-design kernels in collaboration with training, inference, and reinforcement learning teams.

Desired Qualifications

  • Experience with kernel-authoring frameworks such as Pallas/Mosaic for GPU or TPU, or Mojo.

About the Company

Magic

AI-powered code generation and collaboration

Magic.dev focuses on building AI-powered coding tools that act as a virtual coworker for developers. It creates proprietary models that understand and generate code, enabling collaborative coding tasks rather than simple assistance. The product works through subscription or licensing, allowing clients to integrate the AI into their own systems and workflows after training on large datasets with extensive R&D. What sets Magic.dev apart is its emphasis on collaboration with developers as a true coding partner, backed by frontier-scale models, heavy data collection, and a scalable infrastructure designed for enterprise needs. The company’s goal is to advance AI in software development by enabling its virtual coworker to generate, optimize, and co-create code with human programmers.

Company size
51-200
Company stage
Late Stage VC
Total funding
$465M
Headquarters
San Francisco, CA
Founded
2022

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