Job description

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. We are now looking for an Infrastructure Solutions Architect! NVIDIA’s AI platforms have already made a major impact across leading academic institutions, start-ups, and the world’s largest enterprise companies. We need passionate, creative, and driven individuals to help us continue delivering groundbreaking enterprise solutions. This role is ideal for a specialist in system design and networking who can lead customers through the AI computing revolution. You will be leading technical deployments of NVIDIA AI systems, collaborate cross-functionally, support NCP (NVIDIA Cloud Partner) and Enterprise integration. What you’ll be doing: • Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer happiness. • Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies. • Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through close collaboration with customers and internal collaborators. • Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space. • Support technical engagement with NCPs (NVIDIA Cloud Partners) and Enterprise customers to accelerate the deployment and adoption of NVIDIA AI technologies in cloud environments, ensuring time-to-value and successful integration. What we need to see: • Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience. • 8+ years of experience in system design or technical customer support within the technology industry, including hands-on involvement in cloud partner architecture/solution validation, deployment, and scaling activities. This is a field facing role and requires up to 50% travel to customers, partners and datacenters. • Deep knowledge of datacenter hardware such as servers, storage systems, and network devices. • Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments. • Excellent written and verbal communication skills, with a proven ability to collaborate effectively across engineering and leadership teams. Ways to stand out from the crowd: • Proven experience with large-scale datacenter rollouts and integration of solutions with NCP (NVIDIA Cloud Partner) and Enterprise platforms, including support for large-scale cloud deployment and the ability to scale production efficiently. • Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches, with a solid understanding of CPU architecture and embedded Linux systems, APIs, and OS environments. • Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics, and performance tuning across complex system environments. • Deep knowledge of GPU and DPU technologies, including NCCL for high-performance communication in multi-GPU systems. • Familiarity with signal integrity principles, thermal management (HVAC and cooling), power distribution, cabling, and rack layout—especially in industrial, military, and ruggedized computing environments. 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, results-oriented 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 the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 17, 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.

Requirements

Must-haves

Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer happiness.
Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies.
Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through close collaboration with customers and internal collaborators.
Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space.
Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
Deep knowledge of datacenter hardware such as servers, storage systems, and network devices.
Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments.
Excellent written and verbal communication skills, with a proven ability to collaborate effectively across engineering and leadership teams.
Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches, with a solid understanding of CPU architecture and embedded Linux systems, APIs, and OS environments.
Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics, and performance tuning across complex system environments.
Deep knowledge of GPU and DPU technologies, including NCCL for high-performance communication in multi-GPU systems.
Familiarity with signal integrity principles, thermal management (HVAC and cooling), power distribution, cabling, and rack layout—especially in industrial, military, and ruggedized computing environments.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision