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Salary
$255k – $383k per year
Location
Remote (United States)
Seniority
Staff · 3+ years exp
Visa
H-1B filings in 12 months: 16 · for this role: 2 · green card filings: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match
The unified AI inference stack - from custom GPU kernels to production cloud serving on NVIDIA and AMD. 2x performance. Top open models. Open source stack.

Join our team as the Engineering Manager of the MAX Kernel team. In this role, you will lead a team of kernel engineers, own the kernel roadmap, and optimize performance for various hardware platforms. You will collaborate closely with other teams and help grow a kernel engineering community. Additionally, you will be responsible for hiring, coaching, and developing your team, as well as advancing AI-assisted kernel development.

Missions

  • Lead and manage a team of kernel engineers, overseeing their career development, performance management, and team health.
  • Own the kernel roadmap and delivery, ensuring performance optimization for various models and hardware targets.
  • Collaborate cross-functionally with other teams to advance AI-assisted kernel development and the kernel engineering community.

Profil recherché

- Deep understanding of profiling, benchmarking, and roofline analysis

- Track record of hiring, retaining and growing senior kernel or performance engineers

- Strong cross-functional communication; able to drive technical decisions with tech leads and communicate status, risks and tradeoffs to engineering leadership and customers

- 3+ years as an engineering manager leading GPU kernel, compiler, HPC, or ML performance engineering teams. (minimum requirement)

- Working knowledge of writing and optimizing GPU/accelerator kernels (CUDA, HIP/ROCm, Triton, CUTLASS/CuTe or similar)

- Open-source contributions to kernel libraries or inference engines

- Experience with AI-assisted or agentic kernel development

- Multi-target experience beyond NVIDIA: AMD, NPUs/ASICs or edge/on-device

- Experience with Mojo or other kernel and tile-level programming models (Triton, TileLang, CuTe)

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