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High Performance Computing Engineer

United States, Multiple Locations, Multiple Locations💼 Full-time🗓 2026-02-11 → 2026-09-25

Core

Design, operate, and maintain large-scale HPC environments, including deployment, configuration, and day-to-day operation of HPC schedulers and core HPC domains like GPU compute, high-performance storage, and networking.

Role type

Senior IC High Performance Computing Engineer

Builds

Large-scale HPC environments, high-scale training clusters, and scalable services on public cloud infrastructure

Domain

High Performance Computing, Cloud Infrastructure, AI/ML Training

Deliverable

infrastructure

Required skills

HPC scheduler management (SLURM, Kubernetes), GPU compute systems, high-performance storage, networking, Bash scripting, Python automation, public cloud infrastructure (Azure, AWS, GCP), LLM training clusters, NVIDIA InfiniBand, ML framework deployment and scaling

Preferred skills

Experience with NVIDIA H100/GB200, AI platforms and APIs, Machine Learning frameworks for language learning models

Technologies

SLURM, Kubernetes, Bash, Python, Azure, AWS, GCP, NVIDIA InfiniBand, Ray, NVIDIA H100, NVIDIA GB200

Responsibilities

Deploy, configure, and operate HPC schedulers; maintain and tune core HPC domains (GPU, storage, networking); develop automation and tooling for cluster reliability and observability; troubleshoot cluster usage issues and resolve failed jobs; support researchers and engineers with workload optimization

Seniority

Senior, hands-on IC

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