Senior HPC AI Engineer

NVIDIA

Israel, Yokneam +1 more · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. You will combine deep scheduler expertise (LSF, Slurm) with automation, CI/CD, and LLM-based tooling to keep the EDA and GPU-accelerated AI compute environment resilient and measurable.

Responsibilities

Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads
Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time
Building and improving our ecosystem around GPU-accelerated computing
Define and develop automation scripts and wrappers tools for IC
Design environment
Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents
Root cause analysis and suggest corrective action for problems large and small scales
Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure
What we need to see
Bachelor’s degree in Computer Science or related field, or equivalent experience

Languages

Work format: On-site
Seniority: Senior
Posted: 22 Oct 2026
Last verified: In the last 5 days

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