Senior Solutions Architect, AI Compute – NPN

NVIDIA • US, CA, Remote, FL

11d • $184,000 - $356,500

About The Position

NVIDIA is seeking a highly technical Senior AI Compute professional to act as a forward-deployed technical liaison among NVIDIA’s Partner Network (NPN), NVIDIA internal teams, and enterprise customers. The role supports customer-focused projects to analyze, define, and implement large-scale AI Compute systems, combining networking, system design, automation, and validation. The work includes deploying, managing, and validating AI Compute and HPC infrastructure in Linux-based environments for new and existing customers.

The position involves working closely with partners and customer technical teams from planning through implementation, and moving between field deployments and internal NVIDIA collaboration. The successful candidate will help customers and partners deploy and optimize AI factories, provide documentation and knowledge transfer, and give feedback that improves NVIDIA reference architectures and partner enablement programs. Travel to customer sites within the United States may be required up to 30% of the time.

The position offers a base salary range of $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5, depending on location, experience, and other objective job-related factors. Equity and benefits are also offered. Applications will be accepted at least until November 3, 2026.

Requirements

• At least 8 years providing in-depth support and deployment services and solving problems for hardware and software products.
• Knowledge and experience in Linux system administration, including process and package management, task scheduling, kernel management, boot procedures and troubleshooting, performance reporting and optimization, logging, and network routing and advanced networking tuning and monitoring.
• Experience with cluster management and provisioning technologies for bare-metal servers.
• A minimum four-year degree from an accredited university or college in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
• Scripting proficiency, such as Bash, Python, or Ansible.
• Experience with schedulers such as SLURM, LSF, or UGE.
• Excellent interpersonal skills and the ability to resolve customer issues as they arise.
• Ability to travel to customer sites within the United States up to 30% of the time.

Nice To Haves

• Experience with benchmarking tools such as HPL, NCCL tests, and MLPerf.
• Kubernetes experience.
• InfiniBand experience.
• Experience with GPU-focused hardware and software.
• Experience with MPI (Message Passing Interface).
• Experience with storage technologies such as Lustre or GPFS.
• Familiarity with OEM GPU platforms.
• Strong channel sales and services knowledge and partner co-selling experience.
• Experience with BCM (Base Command Manager) for bare-metal server cluster management and provisioning.

Responsibilities

• Deploy, manage, and validate AI Compute and HPC infrastructure in Linux-based environments for new and existing customers.
• Serve as a domain expert for partners from planning calls through implementation.
• Prepare handover-related documentation and conduct knowledge transfers to support customers and partners as they roll out complex systems.
• Provide feedback to internal teams and partners, including opening bugs, documenting workarounds, and suggesting improvements.
• Work with customer and partner technical teams on field deployments and collaborate with NVIDIA teams to support successful deployment and optimization of AI factories.
• Provide feedback to refine NVIDIA reference architectures and partner enablement programs.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior