Nvidia

Senior HPC AI Engineer

Nvidia
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3 days ago
Tel Aviv-Yafo, IsraelSenior

Responsibilities

  • Manage, scale, and optimize LSF and Slurm job scheduling systems in a large-scale, multi-site environment.
  • Analyze scheduler and infrastructure performance data to improve utilization, throughput, and turnaround time.
  • Build and improve GPU-accelerated computing capabilities.
  • Develop automation scripts and wrapper tools for IC design environments.
  • Implement automation and process improvements to reduce manual effort and prevent recurring incidents.
  • Perform root cause analysis and recommend corrective actions.
  • Partner with customer teams to clarify requirements, explain technical tradeoffs, and resolve issues.

Requirements

  • Bachelor’s degree in Computer Science or a related field, or equivalent experience.
  • At least 5 years of experience operating and supporting large-scale Linux-based compute infrastructure.
  • Experience developing, fine-tuning, and deploying LLM-based solutions for applications such as NLP, chatbots, content generation, or data analysis.
  • Strong hands-on experience supporting and tuning LSF and Slurm in HPC or silicon design environments.
  • Proficiency in Linux systems administration, including CentOS and RHEL.
  • Proficiency in CI/CD techniques, GitOps, and infrastructure as code.
  • Proficiency in Python programming and Bash scripting.
  • Preferred experience with FLEXlm network-license maintenance, provisioning, automation, monitoring, and troubleshooting.
  • Preferred experience implementing reliability engineering practices in HPC scheduling environments.
  • Preferred experience building observability systems with metrics collection, monitoring pipelines, alerting strategies, and performance dashboards.
  • Preferred experience with Docker, Singularity, or Podman in HPC environments.

Tech Stack

Categories

Nvidia

About Nvidia

10,000+ employees

Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.

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