# Senior Software Engineer

**Company:** [Crusoe](https://hotfix.jobs/companies/crusoe)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Salary:** $170k – $205k/yr
**Experience:** 5+ years
**Skills:** Go, Python, Java, Rust, Kubernetes, Temporal, GCP, Infrastructure As Code, Distributed Systems, PyTorch, Nvidia Nccl, Gpu Fleet Operations, Diagnostics Automation, Liquid Cooling
**Posted:** 2026-08-04

> Develop diagnostics, observability, automation, and repair tooling for Crusoe’s large-scale GPU infrastructure and data centers. The role requires 4–6 years of software engineering experience, distributed systems expertise, and proficiency in Go, Python, Java, or Rust.

## Job Description

## Responsibilities
- Develop deep-level diagnostics and troubleshooting for hardware faults within GPU racks and high-density compute systems.
- Build troubleshooting and automation tooling for NVIDIA A100, H200, GB200, B200, and AMD 350X/355X GPU platforms.
- Develop automation and AI agents for component-level diagnosis and remediation of failed or degraded hardware.
- Partner with data center operations to create tooling and AI agents for managing critical environments.
- Develop post-repair validation and testing tools, including burn-in, PyTorch, and NVIDIA NCCL, to ensure system stability and performance.
- Own deployment, monitoring, and operational support for developed tooling to maximize GPU fleet availability and performance.
- Develop automation and operational tooling for facility power management and direct liquid-cooling hardware systems.

## Requirements
- 4–6 years of software engineering experience.
- Ability to identify problems, rapidly develop scalable solutions, and ship them.
- Ability to contribute to critical or complex technical initiatives.
- Ability to set technical direction for a project and execute it.
- Expertise in distributed systems, reliability, and cloud platforms.
- Strength in at least one programming language: Go, Python, Java, or Rust.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.

## Nice to Have
- Experience with Temporal and Kubernetes.
- Experience working directly with hardware vendors.
- Experience with large-scale GPU fleet operations or hyperscale data center environments.

## Compensation and Benefits
- Compensation range of **$170,000–$205,000 plus bonus**.
- Restricted Stock Units included in all offers.
- Health insurance options including HDHP and PPO, vision, and dental coverage.
- Employer HSA contributions.
- Paid parental leave.
- Company-paid life insurance and short- and long-term disability coverage.
- Teladoc.
- 401(k) with a 100% match up to 4% of salary.
- Generous paid time off and holiday schedule.
- Cell phone reimbursement.
- Tuition reimbursement.
- Calm app subscription.
- MetLife Legal.
- Company-paid commuter benefit of $50 per pay period.

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