Senior AI Compute Engineer - NVIS

Overview

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.

• 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.

• 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.
• 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, and Kubernetes.

• Infini Band experience.
• Experience with GPU-focused hardware/software.
• Experience with MPI (Message Passing Interface).
• Storage technologies such as Lustre or GPFS.
• Familiarity with OEM GPU platforms.

Your base salary will be determined based on 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.

NVIDIA is committed to fostering an inclusive work environment and proud to be 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.