Our client is building the kind of infrastructure most engineers only read about. They run an AIâcentric cloud that combines huge GPU clusters, highâspeed networks, and cloudânative tooling into a platform used by enterprises, fastâgrowing startups, and advanced research teams.
Requirements
- A Bachelorâs or Masterâs in Computer Science, Engineering, or a related field (PhD is a plus).
- 3+ years actually building or running HPC or large GPU clustersâonâprem, cloud, or hybrid.
- Strong Linux background, plus Kubernetes and container runtimes (containerd, CRIâO, Docker) in real environments, with CI/CD in the loop.
- Experience with storage and I/O for big workloads: Ceph, Lustre, NFS at scale, GPUDirect Storage, or similar systems where throughput, latency, and contention actually matter.
- Comfort with Terraform, Ansible, Helm, and GitOpsâstyle workflows to keep configurations reproducible and sane.
- Good scripting skills in Python or Bash; youâre happy to automate checks, glue systems together, or prototype tooling.
- You write and speak clearly, can lead a design review without losing the room, and can keep both engineers and nonâtechnical stakeholders on the same page.
- Legal authorization to work in the U.S. on a full-time basis without visa sponsorship.
Benefits
- 100% employerâpaid medical, dental, and vision for you and your family
- 4% 401(k) match with immediate vesting
- companyâpaid shortâ and longâterm disability and life insurance
- 20 weeks paid parental leave for primary caregivers
- 12 weeks paid parental leave for secondary caregivers
- 100% remote work option
