# Software Engineer, Systems Generalist

**Company:** [Thinking Machines Lab](https://hotfix.jobs/companies/thinking-machines-lab)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $350k – $475k/yr
**Skills:** Python, Rust, Kubernetes, Slurm, Spark, Containers, CI/CD, GPU, Distributed Systems, Data Pipelines
**Posted:** 2026-04-02

> Builds and scales core infrastructure for AI model training, data systems, and developer tools in a high-impact team. Requires backend proficiency (Python/Rust), experience with large-scale clusters like Kubernetes, and end-to-end project ownership.

## Job Description

## What You’ll Do

We interview generally, but during project selection we’ll take into account your interests and experience alongside organizational needs.

Example areas you may contribute to:

**Core Infrastructure:** Support teams that train, research, and serve AI models. Build systems for large Kubernetes clusters with GPU workloads, or infrastructure to support Tinker.

**Data Infrastructure:** Design and optimize data pipelines using tools like Spark and other modern data infrastructure technologies. Build scalable, reliable data infrastructure with governance best practices.

**Developer Productivity:** Build tooling, systems, frameworks for optimized developer environments.

## Skills and Qualifications

**Minimum qualifications:**
- Bachelor’s degree or equivalent experience in computer science, engineering, or similar.
- Proficiency in at least one backend language (Python or Rust).
- Experience operating large-scale clusters and container orchestration systems (Kubernetes or Slurm).
- Comfort operating across the stack and owning projects end-to-end.
- Thrive in highly collaborative environment with cross-functional partners.
- Bias for action and initiative across stacks and teams.

**Preferred qualifications:**
- Strong debugging across application, OS, and network layers.
- Proficiency in Python or Rust, containers, and modern CI.
- Experience with Kubernetes, controllers/operators, or performance profiling.
- Familiarity with GPU/ML workflows or large-scale data/eval pipelines.

## Logistics

**Compensation:** $350,000 - $475,000 USD annual salary, depending on background, skills and experience.

**Benefits:** Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, relocation support.

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**Apply:** https://hotfix.jobs/jobs/865f7901-f8a9-46b8-b67c-94dd7109d873
**Canonical:** https://hotfix.jobs/jobs/865f7901-f8a9-46b8-b67c-94dd7109d873