Senior HPC AI Engineer

NVIDIA is hiring a Senior HPC AI Engineer. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this AI engineer role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include NLP.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

nlp

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.

What you’ll be doing:

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
Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure
Develop, fine-tune, and deploy advanced LLM-based solutions for [specific applications, e.g., NLP, chatbots, content generation, or data analysis
Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environments
Proficiency in Linux systems administration (CentOS/RHEL)
Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC)
Proficient in Python programming and bash scripting

Ways to stand out from the crowd:

Deep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniques
Network licenses (e.g. FLEXlm) continuous maintenance, provisioning, automation, monitoring and troubleshooting
Experience implementing reliability engineering practices within HPC scheduling environments
Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboards
Background with container technologies such as Docker, Singularity, or Podman in HPC environments

How we rate this

Senior HPC AI Engineer at NVIDIA rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.