Senior Solutions Architect, ODM Support

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead technical architecture for rack-scale AI systems with ODM and manufacturing partners. Define integration requirements, validation criteria, and launch readiness; create reference flows and guidance; provide escalation and technical alignment across NVIDIA teams and external partners; support NPI through production ramp and occasional travel for reviews and site support.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a Senior Solutions Architect to provide technical architecture leadership for rack-scale AI systems delivered through ODM and manufacturing partner integration ecosystems. This role works across NVIDIA architecture, engineering, program, account, and partner-facing teams to align platform requirements, integration strategy, validation criteria, launch readiness, and escalation paths for current and next-generation accelerated computing platforms. You will become a trusted technical advisor across internal teams and external partner integration stakeholders.

What you'll be doing:

  • Collaborate with ODM and manufacturing integration partners to define, document, and align system architecture, integration requirements, and readiness criteria.

  • Develop technical collateral, reference flows, and architecture guidance that help partner teams execute integration, validation, and deployment readiness.

  • Provide architectural guidance for ODM rack integration workflows, including system configuration, integration readiness, validation planning, issue triage, partner technical alignment, and transition from NPI through production ramp.

  • Work as a key member of a cross-functional NVIDIA team as a technical authority on NVIDIA products and rack-scale AI infrastructure.

  • Some travel to conferences, customers, and partner integration sites may be required to support technical alignment, launch readiness, executive reviews, and escalation activities.

What we need to see:

  • BS or MS in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • 5+ years of related experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions

  • Knowledge of theory and practice of AI workloads and HW deployments

  • History of translating platform architecture into integration, validation, and deployment requirements.

  • Experience driving technical alignment across engineering, program, account, and partner-facing teams.

  • Familiarity with rack-scale compute, networking, storage, power, thermal, firmware/BMC, Linux, and datacenter deployment workflows.

  • Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts

  • Desire to be involved in multiple diverse and creative projects

Ways to stand out from the crowd:

  • Experience with rack-scale AI infrastructure, factory/integration readiness, or large-scale datacenter deployment.

  • Experience working with ODM/manufacturing partner ecosystems.

  • Ability to define acceptance criteria, integration playbooks, or readiness gates for complex platforms.

  • Strong C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 18, 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.

Skills Required

  • BS or MS in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
  • 5+ years of related experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions
  • Knowledge of theory and practice of AI workloads and hardware deployments
  • History of translating platform architecture into integration, validation, and deployment requirements
  • Experience driving technical alignment across engineering, program, account, and partner-facing teams
  • Familiarity with rack-scale compute, networking, storage, power, thermal, firmware/BMC, Linux, and datacenter deployment workflows
  • Excellent interpersonal skills, including ability to explain complex technical topics to non-experts
  • Desire to be involved in multiple diverse and creative projects
  • Experience with rack-scale AI infrastructure, factory/integration readiness, or large-scale datacenter deployment
  • Experience working with ODM/manufacturing partner ecosystems
  • Ability to define acceptance criteria, integration playbooks, or readiness gates for complex platforms
  • Strong C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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