Solutions Architect - OEM

Posted 10 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
124K-242K Annually
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Solutions Architect will evaluate server and computing solutions, coordinate qualification and certification, and support OEM relationships. Responsibilities include analyzing full-system architectures, troubleshooting schematics, diagnostics, test results, thermal and electrical data, and improving CPUs, GPUs, memory, storage, power, cooling, and interconnects. The role manages multiple technical cases, translates complex findings into recommendations, and supports AI infrastructure projects from the Round Rock area with required travel.
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.

For more than 25 years, NVIDIA has revolutionized computer graphics, PC gaming, and accelerated computing. Now, with AI crafting the future of computing, our custom development solutions team invites a dynamic Solutions Architect - OEM to join us in Round Rock, TX. This distinguished role includes reviewing new solution feasibility and coordinating qualification and certification processes. You will also partner closely with the OEM. If innovation and cooperation motivate you, this is your chance to create a significant influence!

What you'll be doing:

  • Collaborating with marketing and the custom design solutions team to review new solutions and manage qualification and certification submissions.

  • Collaborating closely with the OEM to develop a strong, positive relationship, align on expectations, address issues promptly, and guarantee projects are completed flawlessly.

  • Analyzing detailed server or computing platforms at a full system level to supply top-tier solutions.

  • Handling several technical cases and client priorities simultaneously, ensuring every requirement is addressed with outstanding quality and attention to detail.

  • Examining schematics, block diagrams, diagnostic data, manufacturing test results, and thermal or electrical measurements to identify root causes and offer practical solutions.

  • Effectively driving progress in server architecture by improving CPUs, GPUs, memory, storage, power delivery, cooling, and high-speed interconnects.

  • Operating from the Round Rock area and traveling as required to support project goals.

What we need to see:

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline—or equivalent experience.

  • 2+ years of relevant experience as a Solutions Architect, Systems Engineer, or in a comparable technical role.

  • Practical experience in detecting issues within complex server or computing environments across the entire system.

  • Proven ability to manage multiple client engagements and technical cases simultaneously while maintaining clear priorities and strong follow-through.

  • Solid grasp of server architecture, encompassing CPUs, GPUs, memory, storage, power delivery, cooling, and high-speed interconnects.

  • Ability to interpret schematics, block diagrams, diagnostic logs, test results, and measurement data.

  • Excellent project-management and communication skills, with the ability to translate complex technical information into clear recommendations and collaborate effectively with both business and engineering teams.

Ways to stand out from the crowd:

  • Direct experience supporting NVIDIA HGX, DGX, or MGX platforms or comparable GPU-accelerated data center systems.

  • Experience designing, deploying, qualifying, or supporting AI infrastructure and solutions in enterprise or data center environments.

  • Familiarity with ARM-based systems, NVIDIA GPUs, system firmware, and diagnostic automation using Python or shell scripting.

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 individuals 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 22, 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 Electrical Engineering, Computer Engineering, Computer Science, or a related discipline, or equivalent experience
  • 2+ years of relevant experience as a Solutions Architect, Systems Engineer, or in a comparable technical role
  • Experience detecting issues within complex server or computing environments across the entire system
  • Ability to manage multiple client engagements and technical cases simultaneously
  • Strong understanding of server architecture, including CPUs, GPUs, memory, storage, power delivery, cooling, and high-speed interconnects
  • Ability to interpret schematics, block diagrams, diagnostic logs, test results, and measurement data
  • Excellent project-management and communication skills
  • Experience supporting NVIDIA HGX, DGX, MGX, or comparable GPU-accelerated data center systems
  • Experience designing, deploying, qualifying, or supporting AI infrastructure and solutions in enterprise or data center environments
  • Familiarity with ARM-based systems, NVIDIA GPUs, system firmware, and diagnostic automation using Python or shell scripting

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.

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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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