Senior Staff Software Engineer, DC Infrastructure
CrusoeAI Infrastructure company
San Francisco, United States$250,000 - $300,000Lead
Valor Equity Partners
Founders Fund
Bain Capital Ventures
Fidelity Investments
G2 Venture Partners
Mubadala Capital
Software Engineering
About the role
TL;DR
Develop software for managing GPU servers and data centers, focusing on diagnostics and automation.
- •We are seeking a highly skilled and motivated Software Engineer to join Crusoe’s Data Center Infrastructure Engineering team.
- •This position is focused on the development of software for the management of a fleet of GPU servers as well as the data centers that house those systems.
- •Key Responsibilities Developing and implementing deep-level diagnostics and troubleshooting of hardware faults within GPU racks and high-density compute systems.
- •Developing troubleshooting and automation tooling for GPU platforms including NVIDIA A100, H200, GB200, B200 and AMD 350X / 355X.
- •Developing automation and AI agents for executing component-level diagnosis and remediation for failed or degraded hardware.
- •Developing tooling for post-repair validation and testing tools such as burn-in, Pytorch, and NVIDIA NCCL to ensure system stability and performance.
- •Requirements Software engineering experience.
- •Expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, GCP etc.).
- •Strength in at least one programming language
- •Go, Python, Java, Rust.
- •Strong analytical and problem-solving skills.
Required skills
KubernetesPythonGoJavaRustTerraformGoogle CloudDockerCI/CD
Domain expertise
aideveloper-tools
Benefits & perks
Restricted Stock Units, Health insurance, Vision insurance, Dental insurance, HSA contributions, Paid Parental Leave, Paid life insurance, Short-term disability, Long-term disability, Teladoc, 401(k) with match, Generous paid time off, Cell phone reimbursement, Tuition reimbursement, Calm app subscription, MetLife Legal, Commuter benefit
Tech stack
PythonGoJavaRustKubernetesTerraformGoogle CloudDockerCI/CDPyTorch