NVIDIA
Senior Compute Platform Engineer, LSF - EDA Infrastructure
$184K–$356K
US, CA, Remote +2 · Senior · Full-time · Posted Oct 13, 2026
- Location
- US, CA, Remote
US, TX, Austin
US, Remote - Experience
- 8+ years in HPC or large-scale batch compute, with 5+ years of that on IBM Spectrum LSF.
- Education
- BS or MS in Computer Science, Computer Engineering, or equivalent experience.
About the job
Own and optimize NVIDIA’s federated LSF platform for EDA workloads, troubleshoot scheduling and MultiCluster issues, and guide its topology and policy design as it scales.
What you'll do
- Tune scheduler behavior and analyze scheduling cycles and contention across 15–25 federated LSF cells.
- Diagnose MultiCluster forwarding and cross-cluster scheduling problems in a production, multi-site environment.
- Set cell topology and federation design, and work with an IaC engineer to encode scheduler policy.
What they ask for
- BS or MS in Computer Science, Computer Engineering, or equivalent experience.
- 8+ years in HPC or large-scale batch compute, including 5+ years on IBM Spectrum LSF.
- Demonstrated depth in LSF internals and hands-on MultiCluster experience in a production, multi-site environment.
- Strong Linux systems fundamentals; system programming languages and scripting in Python, Perl, and shell.
Nice to have
- LSF development or escalation engineering experience; experience with LSF integration points, RTM, or LSF APIs.
- Semiconductor or EDA compute background, or experience migrating a production estate from Slurm, PBS, or Grid Engine.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
IBM Spectrum LSF, MultiCluster, Linux, Python, Perl, shell, Slurm, PBS
AI focus
NVIDIA uses AI tools in its recruiting processes; the role’s AI work is not specified.
Model-written summary · the original posting is authoritative