Solutions Architect, AI Infrastructure Build Readiness - Enablement

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 Solutions Architect to join the AI Infrastructure Build Readiness - Enablement team. In this role, you'll support customer-facing technical engagements and help connect real-world workloads to NVIDIA's hardware and software ecosystem. We're looking for someone who is technically curious, eager to develop deep expertise in NVIDIA platforms, and excited to grow into a trusted technical resource for customers and partners. If you're passionate about applied technology and want to learn from some of the best engineers in the world, we'd love to hear from you.

What You'll Be Doing:

• Support technical engagements with OEM and deployment partners, helping to understand their workloads and identify how NVIDIA's technology stack can address their needs, under the guidance of senior team members.
• Contribute to the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions.
• Engage hands-on with technical topics—building, testing, and validating solutions that help OEM and deployment partners get started with and scale NVIDIA technologies.
• Help document and communicate OEM and deployment partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams.
• Participate in technical engagements, helping customers troubleshoot issues and learn to navigate NVIDIA's tools, SDKs, and platforms effectively.
• Support technical enablement and platform adoption efforts, contributing to onboarding materials, demos, and documentation that help developers and enterprises integrate NVIDIA technologies.
• Collaborate with engineering and product teams to understand NVIDIA's solutions and contribute to successful customer deployments.
• Support AI Factory build readiness initiatives by contributing to enablement programs, deployment guides, and readiness frameworks that help OEM and deployment partners successfully bring up NVIDIA AI infrastructure.

What we need to see: 

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field — with some hands-on exposure to infrastructure architecture, data center deployment, or large-scale AI/HPC systems.
• Foundational technical knowledge in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, with a demonstrated interest in building expertise and contributing to technical solutions.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences, with a desire to grow this skill across more complex topics and senior stakeholder levels.
• Strong problem-solving skills, intellectual curiosity, and a genuine passion for helping customers succeed with technology.
• Demonstrated ability to build collaborative relationships with OEM and deployment partners, with an interest in developing the technical credibility and trust needed to support complex product decisions.
• Experience working with OEM, ODM, system integrator, or deployment partner ecosystems to support partner enablement, technical field engagement, or platform adoption.
• Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
• Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
• Travel required periodically as business demands (10–20%).

Ways to stand out from the crowd:

• A hands-on technical problem solver who can clearly articulate how technology works and apply that understanding to real customer challenges.
• Early experience supporting customers or partners in adopting new technologies or platforms, with a passion for enabling others to succeed.
• A growth mindset and the initiative to develop technical depth quickly, with examples of self-driven learning in AI infrastructure, accelerated computing, or AI Factory deployment domains.
• Experience contributing to technical enablement programs, deployment playbooks, or onboarding frameworks that help partners or customers scale new technology platforms.

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, driven by achieving goals, and enjoy learning while having fun, then what are you waiting for? Apply today!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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.