Senior Solutions Architect, AI Compute

Role Description

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Senior AI Compute Engineer to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers.

Academic, enterprise, 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!

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, automation, and validation.

What you will be doing:

• Deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
• Being the domain expert with partners during planning calls through implementation.
• Providing handover-related documentation and performing knowledge transfers required to support customers and partners.
• Providing feedback to internal and partner teams such as opening bugs, documenting workarounds, and suggesting improvements.

Qualifications

• 8+ years providing in-depth support and deployment services; solving problems for hardware and software products.
• Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, 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.).
• Experience with schedulers such as SLURM, LSF, UGE, etc.
• Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
• An ability to travel to customer sites within the United States up to 30% of the time.
• Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

Requirements

• 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.
• Strong channel sales and services knowledge and partner co-selling experience.

Benefits

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
• You will also be eligible for equity and benefits.

Company Description

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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.