We are now looking for a Infrastructure Solutions Architect! We are now looking for a 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. Lead technical deployments of NVIDIA AI systems, collaborate cross-functionally, support NCP (NVIDIA Cloud Partner) integration through our OEM partners.
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) 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.
5+ 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.
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) 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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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
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.”
