Nvidia Solutions Architect – OEM 

United States, Texas 

166646818

What You’ll Be Doing:

• Taking full ownership of the solution lifecycle—from strategy throughexecution—emphasizingNVIDIA’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-salesengagements—developingarchitectures, 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.