# AI Kernel Engineering Manager at Modular

- Company: Modular
- What the company does: 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. Backed by General Catalyst, Greylock and GV.
- Company website: https://www.modular.com/
- Type: Startups (AI role)
- Level: Senior
- Location: United States - Remote
- Work setup: Remote
- Posted: 2026-10-10
- Apply by: 2026-11-24
- Apply: https://jobs.gem.com/modular/am9icG9zdDqLZ7KnA4RSL6h9DyXuNmGY?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/modular-max-kernel-engineering-manager/

## About the role

MAX is Modular's inference tech stack, built to run GenAI models fast across NVIDIA, AMD, Qualcomm, Trainium, TPU and more. The MAX Kernel team is the performance foundation of that stack, developing kernels using Mojo, GEMM, attention (MHA/MLA/MSA), MoE routing and grouped matmul, and the portable tile abstractions that let one kernel lower to many targets. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 3+ years as an engineering manager leading GPU kernel, compiler, HPC, or ML performance engineering teams. (minimum requirement)
- Strong cross-functional communication, able to drive technical decisions with tech leads and communicate status, risks and tradeoffs to engineering leadership and customers
- Track record of hiring, retaining and growing senior kernel or performance engineers
- Working knowledge of writing and optimizing GPU/accelerator kernels (CUDA, HIP/ROCm, Triton, CUTLASS/CuTe or similar)
- Deep understanding of profiling, benchmarking, and roofline analysis
- Experience with Mojo or other kernel and tile-level programming models (Triton, TileLang, CuTe)


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/modular-max-kernel-engineering-manager/