Head of GPU Infrastructure & HPC Engineering

Greylock Partners; New York (NY); On-site; USD 210,000 - 320,000; Full time

Job summary

Greylock Partners-backed startup in New York is seeking a Head of Engineering to own the GPU infrastructure and HPC platform powering cloud simulation for robotics and AI. You will lead engineering across cloud infrastructure, backend, frontend, and developer-experience, writing substantial production code and guiding the team in a fast-growing environment.

The role requires hands-on leadership to optimize GPU scheduling, data pipelines, and compute costs while maintaining reliability.

Qualifications

• 5+ years building software and leading engineering teams at fast-growing companies.
• Experience operating GPU-accelerated cloud systems at scale.
• Deep experience with distributed systems, MLOps, Kubernetes, data pipelines, and compute scheduling tools such as Ray or Slurm.
• Proficiency writing production-grade Python and making cost-conscious engineering decisions.

Responsibilities

• Set technical direction and own the core platform powering GPU infrastructure.
• Lead GPU scheduling across multiple compute pools and cloud providers.
• Oversee distributed job execution, data pipelines, storage, and reproducible workflows.
• Hire and develop engineers to own systems end-to-end and maintain strong engineering practices.

Skills

Python

Distributed systems

GPU scheduling

MLOps

Leadership

Documentation & code reviews

Tools

Kubernetes

Ray

Slurm

Job description

Greylock Partners-backed startup in New York is seeking a Head of Engineering to own the GPU infrastructure and HPC platform powering cloud simulation for robotics and AI. You will lead engineering across cloud infrastructure, backend, frontend, and developer-experience, writing substantial production code and guiding the team in a fast-growing environment.

The role requires hands-on leadership to optimize GPU scheduling, data pipelines, and compute costs while maintaining reliability.