Reliability Engineer, Supercomputing at ThinkingMachines

Department: Core Engineering

Compensation

$350,000 – $475,000/yr

Setup: On-site
Location: San Francisco, California
Type: Full-time
Level: senior
Posted: Jun 24, 2026

Description

Thinking Machines is hiring an evergreen GPU Reliability Engineer to maintain the reliability of its GPU supercomputing fleet. The role owns the interface between hardware, firmware, and operating systems; investigates and resolves hardware, NIC, HBM, and kernel-driver issues; automates fleet monitoring and reliability analysis; manages firmware lifecycles; and engages GPU, server OEM, NIC, and storage vendors. The position is based in San Francisco, California, with an expected annual salary of $350,000–$475,000 USD and visa sponsorship.

Required Skills

Python or Rust
Kubernetes or Slurm
Linux debugging
Firmware lifecycle
Vendor engagement
Linux kernel
GPU hardware health

Additional Information

Minimum Education: Bachelor’s degree or equivalent experience in computer science, engineering, or a similar field
Required Previous Experiences: Experience operating large-scale clusters and container orchestration systems
Preferred Qualifications: Fluency with Linux systems and debugging tools
Statistical rigor in reliability analysis
Hardware debugging from application symptoms to root cause
Reading vendor errata, firmware release notes, and kernel changelogs
Direct hardware vendor engagement
Linux kernel literacy
Out-of-band management
GPU hardware health
Large-scale hardware reliability ownership
Vendor case and postmortem writing
Distinguishing flaky machines, workloads, and tests
Translation Company Name: Thinking Machines Lab