NVIDIA is looking for a Solutions Architect, AI Infrastructure to lead the deployment of innovative AI solutions. You will work directly with NVIDIA AI Native customers, guiding discussions and deployments of data center GPU server and networking infrastructure.
What You'll Do
- Work with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments.
- Guide customer discussions on network topologies, compute/storage, and support the bring-up of server/network/cluster deployments.
- Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications.
- Conduct regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions.
- Build custom demonstrations and proofs of concept to address critical business needs.
- Analyze and debug compute/network performance issues.
What We're Looking For
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience.
- 5+ years of experience in Solution Engineering or similar roles.
- System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers.
- Practical knowledge of networking—switching & routing for Ethernet/Infiniband—and data center infrastructure (power/cooling).
- Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.
- Effective time management and ability to balance multiple tasks.
- Excellent communication skills for articulating ideas and code clearly through documents and presentations.
Nice to Have
- External customer-facing skills and experience.
- Experience with the bring-up and deployment of large clusters.
- Proficiency in systems engineering, coding, and debugging, including C/C++, Linux kernel, and drivers.
- Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU or equivalent experience, RoCE, InfiniBand), and/or ARM CPU solutions.
- Familiarity with virtualization technology concepts.
Technical Stack
- Linux, Docker/containers, Kubernetes
- C/C++, Linux kernel, drivers
- CUDA, NVIDIA networking technologies (DPU, RoCE, InfiniBand)
- ARM CPU solutions, virtualization technology
Benefits & Compensation
- Compensation: $148,000 USD - $235,750 USD for Level 3, and $184,000 USD - $287,500 USD for Level 4 + equity eligibility.
- Equity and comprehensive benefits.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
