Job description
NVIDIA is looking for a Senior 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! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation.
What you will be doing:
Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
Be the domain expert with customers during planning calls through implementation.
Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!
Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
8+ years providing in-depth support and deployment services; solving problems 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/advanced networking (tuning and monitoring).
Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).
Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
Scripting proficiency (Bash, Python, Ansible, etc.).
Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.
Experience with schedulers such as SLURM, LSF, UGE, etc.
An 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 as well as Kubernetes experience.
Ways to stand out from crowd:
InfiniBand 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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 11, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.Originally posted on Himalayas
Who can apply
Eligible countries: Canada, United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.