Solutions Architect – OEM

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
148K-288K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for the solution lifecycle from strategy to execution, driving pre-sales engagements, developing reference architectures, and delivering technical training to ensure customer success.
Summary Generated by Built In

We are looking for a Solution Architect who is not only proactive and driven, but also committed to championing and advancing the NVIDIA narrative throughout our initiatives. This leader will relentlessly push our team and partners while ensuring every solution is built with NVIDIA’s innovation at the forefront. You will collaborate with multi-functional teams, including hardware, software engineering, OEM project management, and sales.

What You’ll Be Doing:

  • Taking full ownership of the solution lifecycle—from strategy through execution—emphasizing NVIDIA’s strengths and market impact.

  • Providing senior-level technical leadership to challenge assumptions, drive adoption of NVIDIA’s accelerated computing and AI solutions, and advance guidelines.

  • Driving pre-sales engagements—developing architectures, leading demos, providing deep technical expertise, and supporting the sales process.

  • Clearly and compellingly communicating NVIDIA’s value proposition, ensuring our technology is central to every discussion.

  • Collaborating with both technical and business teams while always prioritizing the NVIDIA narrative and technical excellence.

  • Developing and validating Reference Architectures (RA’s) and Lenovo Validation Designs (LVD’s) to accelerate deployment and customer success.

  • Anticipating roadblocks, championing breakthrough ideas, and driving the creation of validated architectures that differentiate NVIDIA in the market.

  • Identifying training needs and delivering technical training content (e.g., AI Advisor) to empower customers, partners, and internal teams.

What We Need To See:

  • Bachelor's or Master's degree (or equivalent experience) in Computer Science.

  • 5+ years of experience.

  • Proven senior-level technical leadership with the ability to challenge assumptions and influence strategic decisions.

  • Hands-on experience with AI, ML, and accelerated computing platforms.

  • Strong pre-sales experience, including technical customer engagement, solution design, and executive-level presentations.

  • Excellent communication skills with the ability to articulate complex technical value propositions.

  • Track record of global collaboration and proactive leadership.

  • Specialized expertise in RA’s and LVD’s development and validation.

  • A self-starter with the ability to operate independently and at scale.

Ways To Stand Out From The Crowd:

  • Deep expertise in enterprise solution architecture and ecosystem integration.

  • Experience influencing large-scale customer deployments and shaping go-to-market strategies.

  • Demonstrated leadership in technical training delivery and enablement programs.

  • Published or presented work on AI, ML, or accelerated computing architectures.

  • A reputation for pioneering new solutions and championing breakthrough ideas that become industry reference points.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 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 October 25, 2025.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.

Top Skills

Accelerated Computing
AI
Architecture
Ml
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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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