NVIDIA
Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure
$184K–$356K
US, NC, Remote +2 · Senior · Full-time · Posted Oct 31, 2026
- Location
- US, NC, Remote
US, TX, Austin
US, Remote - Experience
- 6+ years in infrastructure engineering.
- Education
- BS or MS in Computer Science or equivalent experience.
About the job
Own and automate configuration management, deployment, drift control, and regression testing for NVIDIA’s federated EDA compute farm running LSF scheduler cells.
What you'll do
- Design and own the LSF cell deployment configuration schema.
- Build deployment pipelines with staged rollout and rollback across scheduler cells.
- Eliminate configuration drift and create tooling and regression tests for scheduled LSF upgrades.
What they ask for
- BS or MS in Computer Science or equivalent experience.
- 6+ years in infrastructure engineering with strong configuration management depth.
- Experience with GitOps at scale, including review workflows, environment promotion, drift detection, and safe rollback.
- Proficiency in Go, Python, and shell; experience automating stateful, long-lived infrastructure.
Nice to have
- Experience bringing a manually administered estate under configuration management while it remained in production.
- Familiarity with LSF, Slurm, or another batch scheduler; CI/CD for infrastructure or observability experience.
Pay
184,000 USD – 287,500 USD (base salary) for Level 4; 224,000 USD – 356,500 USD (base salary) for Level 5
Tools
Ansible, Salt, Puppet, Chef, Go, Python, LSF, Slurm
AI focus
NVIDIA uses AI tools in its recruiting processes; no AI work is specified for this role.
Model-written summary · the original posting is authoritative