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CrusoeCrusoeSan Francisco, CA

Staff Software Engineer

Build and maintain software for advanced diagnosis, troubleshooting, and repair of Crusoe's large-scale GPU compute clusters (NVIDIA and AMD). Requires strong Golang coding, deep GPU/hardware expertise, Linux proficiency, and experience in production data center environments.

215k – 260k/yr
On-site7+ YOEEmbedded Engineering

About the role

What You’ll Be Doing

  • Automate deep-level diagnosis and troubleshooting of hardware faults within GPU racks and high-density compute systems.
  • Develop software to troubleshoot and support GPU platforms including NVIDIA A100, H200, GB200, B200, B300 and AMD 350X / 355X.
  • Execute component-level diagnosis and remediation for failed or degraded hardware.
  • Partner with data center operations to manage and perform field-replaceable unit (FRU) repairs for GPUs, power supplies, cooling systems, interconnects, and networking hardware.
  • Conduct post-repair validation, burn-in testing, torch testing, and NVIDIA NCCL testing to ensure system stability and performance.
  • Implement and execute preventative maintenance procedures to improve fleet reliability and extend hardware lifespan.
  • Perform firmware and BIOS upgrades across the GPU fleet.
  • Maintain detailed documentation of maintenance activities, failures, and resolutions in ticketing and asset management systems.
  • Develop and update standard operating procedures (SOPs) for troubleshooting, repair, and validation workflows.
  • Collaborate with engineering, software, and data center operations teams to identify root causes of systemic failures and implement preventative solutions.
  • Participate in a rotating infrastructure on-call schedule (about one week every 4–6 weeks) with daytime coverage and handoff to the Europe team.

What You’ll Bring to the Team

  • Ability to code in Golang
  • Proven experience diagnosing and repairing high-density, rack-mounted compute hardware in production environments.
  • Deep understanding of GPU architectures and hands-on experience with GPU-based systems.
  • Experience supporting NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X series platforms.
  • Familiarity with high-speed interconnects such as InfiniBand, NVLink, and RDMA over Converged Ethernet (RoCE).
  • Strong Linux experience (Ubuntu, Rocky Linux, CentOS) using the command line for diagnostics and testing.
  • Proficiency with GPU and system diagnostic tools such as NVIDIA DCGM and NVIDIA field diagnostic utilities.
  • Experience working with enterprise server hardware, power delivery, and cooling systems.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently in a fast-paced data center or operations environment.

Nice to Have

  • Technical certification or Associate’s/Bachelor’s degree in Electrical Engineering, Computer Science, or a related field or demonstrated experience.
  • Experience working directly with hardware vendors and escalations.
  • Background in large-scale GPU fleet operations or hyperscale data center environments.

Benefits

  • Hybrid work schedule
  • Industry competitive pay
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit; $300 per pay period

Compensation

Compensation will be paid in the range of $215,000 - $260,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Skills

Gogpu architecturesnvidia a100nvidia h200nvidia gb200nvidia b200amd 350xamd 355xInfiniBandnvlinkroceLinuxubunturocky linuxcentos
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