Senior Product Manager, AI Software Stack & Compiler

Majestic Labs

Los Altos (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Majestic Labs is seeking a visionary Senior Product Manager to lead the AI software stack, compiler ecosystem, and server‑system software at the intersection of data center infrastructure and AI compute. You will own the compiler roadmap, runtimes, and deep learning framework integrations to deliver seamless developer experiences for cloud infrastructure teams.

The role emphasizes defining product requirements, coordinating cross‑team schedules, and shaping a high‑performance software stack that

Qualifications

  • Education: MS or PhD in CS/EE/Math/Physics is mandatory.
  • 5–8 years of PM or software systems engineering with compiler/ML infra shipping experience.
  • Deep CUDA, Triton, and high‑performance parallel computing knowledge.
  • Familiar with HPC scale‑out infrastructures and distributed memory systems.
  • Experience in accelerated software, cloud, or startup AI compute groups (NVIDIA, Google, AWS, etc.).

Responsibilities

  • Translate requirements into PRDs, specs, and feature definitions.
  • Develop schedules, milestones, and release plans across multiple teams.
  • Define compiler/toolchain requirements and roadmap.
  • Lead framework integrations for PyTorch, JAX, vLLM, SGLang, and Optimum.
  • Define high‑performance kernel optimization and multi‑node scale‑out workstreams.
  • Advocate for developer UX and reduce need for custom scripts or hacks.

Skills

Product management
Software systems engineering
CUDA
Triton
Parallel programming
HPC scale-out

Education

M.S. or Ph.D. in CS/EE/Math/Physics

Tools

MLIR/LLVM
PyTorch
JAX
OpenAI Triton
Hugging Face Optimum
SLURM
Ray
LMCache

Job description

Majestic Labs is seeking a visionary Senior Product Manager to lead the AI software stack, compiler ecosystem, and server‑system software at the intersection of data center infrastructure and AI compute. You will own the compiler roadmap, runtimes, and deep learning framework integrations to deliver seamless developer experiences for cloud infrastructure teams.

The role emphasizes defining product requirements, coordinating cross‑team schedules, and shaping a high‑performance software stack that

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