Solutions Architect, HPC Systems Engineer

About the role

NVIDIA is seeking an experienced Systems and Network Infrastructure Solutions Architect to join the NVIDIA Solution Architecture Engineering (SA) team. The ideal candidate will work with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as a solution architect. They will guide customer discussions on network topologies, compute/storage, and support the bring-up of server/network/cluster deployments. Additionally, they will identify new project opportunities for NVIDIA products and technology solutions in data centers and artificial intelligence applications.

Responsibilities

• Guide customer discussions on network topologies, compute/storage, and support bring up of server/network/cluster deployments.
• Visit customer data centers during the bring-up phase.
• Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications.
• Work closely with the Systems/Network Engineering, Product Management, and Sales teams.
• Build relationships with customers as a trusted advisor, conducting regular technical customer meetings for product roadmaps, cluster debugging, feature discussions, and introducing new technology solutions.
• Build custom product demonstrations and Proof of Concepts (POCs) for solutions addressing critical business needs of our customers.
• Analyze and debug compute/network performance issues.

Requirements

• Bachelor's, Master's, or PhD in Electrical/Computer Engineering, Computer Science, Physics, or related field, or equivalent experience.
• 6+ years of Solution Engineering (or similar Engineering roles) experience.
• 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).
• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes (a plus).
• Effective time management and capable of balancing multiple tasks.
• Ability to communicate ideas/code clearly through documents, presentations, etc.

Desired Skills

• External customer-facing skill set and background.
• Experience with bring-up and deployment of large clusters.
• Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel, and drivers.
• Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions.
• Familiarity with virtualization technology concepts.

Benefits

We offer competitive compensation, including a base salary range of $184,000 - $287,500 for Level 4 and $224,000 - $356,500 for Level 5, along with equity and benefits. Applications for this job will be accepted until January 27, 2026. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment and inclusive culture.