Solutions Architect, HPC Systems Engineer

NVIDIA is hiring a Solutions Architect to work with its Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments. The role sits in NVIDIA's Solution Architecture Engineering team, which supports accelerated computing applications. This is for someone with a systems and networking background who can act as a technical advisor to customers and work alongside engineering, product management, and sales teams.

NVIDIA is open to remote work for this position, with occasional travel required.

What you will do

• Work with customers on data center GPU server and networking infrastructure deployments as a solution architect.
• Guide customer discussions on network topologies, compute and storage, and support bring up of server, network, and 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.
• Serve as a customer trusted advisor, holding regular technical meetings on product roadmap, cluster debug, feature discussions, and new technology solutions.
• Build custom product demonstrations and POCs for solutions that address customers' business needs.
• Analyze and debug compute and network performance issues.

What they are looking for

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field, or equivalent experience.
• 6+ years of Solution Engineering or similar engineering experience.
• System level understanding of server architecture, NICs, Linux, system software, and kernel drivers.
• Practical knowledge of networking, including switching and routing for Ethernet/InfiniBand, and data center infrastructure such as power and cooling.
• Effective time management and the ability to balance multiple tasks.
• Ability to communicate ideas and code clearly through documents and presentations.
• Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes is a plus.

Ways to stand out

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

Pay and benefits

The base salary range is 184,000 USD to 287,500 USD for Level 4, and 224,000 USD to 356,500 USD for Level 5. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.

Location and travel

The role is open to remote work. Conferencing tools are used extensively, but occasional travel (20%) is required for on-site customer visits and industry events.

Other details

Applications will be accepted at least until January 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is an equal opportunity employer. The company states that it does not discriminate in hiring or promotion 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.