This role at NVIDIA focuses on managing and optimizing the EDA compute environment, which runs millions of cores across federated LSF cells. The engineer will be responsible for diagnosing scheduling issues and improving scheduler behavior. The position requires deep knowledge of LSF internals and collaboration with various teams to ensure efficient operation. This is a specialist role that demands both technical expertise and practical experience in high-performance computing environments.

• BS or MS in Computer Science, Computer Engineering, or equivalent experience.
• 8+ years in HPC or large-scale batch compute, with 5+ years of that on IBM Spectrum LSF.
• Demonstrated depth in LSF internals and ability to debug scheduler behavior.
• Hands-on MultiCluster experience in a production, multi-site environment.
• Strong Linux systems fundamentals and proficiency in system programming languages and scripting in Python, Perl, and shell.

• Own scheduler behavior across 15–25 federated LSF cells, including tuning and scheduling cycle analysis.
• Diagnose MultiCluster forwarding problems and address user-reported performance issues.
• Set the technical design for cell topology and federation as the farm grows.
• Work with IaC engineers to encode scheduler policy into a config schema.
• Partner with CAD and methodology teams on complex workloads that challenge normal assumptions.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.