AI Compute Engineer - NVIS
Listed on 2026-06-19
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IT/Tech
Systems Engineer
NVIDIA is looking for an AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world!
Responsibilities- Deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based customer environments
- Working with customers, partners and internal teams to analyze, define, and implement large‑scale AI Compute projects, including networking, system design, automation and validation
- Serving as the domain expert during planning calls through implementation and handing over documentation and knowledge transfer to support customers as they roll out sophisticated systems
- Providing feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements
- 4+ years providing in‑depth support and deployment services for hardware and software products
- Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing and advanced networking (tuning and monitoring)
- Experience with cluster management and provisioning technologies for bare‑metal servers (BCM (Base Command Manager) is a plus)
- Minimum four‑year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience
- Scripting proficiency in Bash, Python, Ansible, etc.
- Excellent interpersonal skills and the ability to resolve customer issues as they arise
- Strong organizational skills and ability to prioritize/multi‑task with limited supervision
- Experience with cluster management tools such as SLURM, Kubernetes, LSF, etc.
- Ability to travel to customer sites within the United States up to 20% of the time
- Experience with benchmarking tools such as HPL, NCCL tests, MLPerf
- Infini Band and/or high‑speed Ethernet and RoCE experience
- Experience with GPU (graphics processing unit) focused hardware/software
- Experience with MPI (message passing interface)
- Storage technologies such as Lustre or GPFS
- Familiarity with OEM GPU platforms
The base salary range is 92000 USD – 155250 USD. You will also be eligible for equity and benefits.
Applications for this position will be accepted until June 19, 2026.
Equal Opportunity EmployerNVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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