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Nvidia Senior Solutions Architect Infrastructure United States, Texas 30657088
15.10.2025
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- US, TX, Austin
- US, TX, Remote
- US, CA, Remote
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 7 Days Ago
- job requisition id
What you will be doing:
- Working with NVIDIA Automotive customers on data center GPU server and networking infrastructure projects as solution architect. Guiding customer journey to server, network, and cluster deployments and lead discussions about network topologies, compute, management, telemetry, and storage fabrics.
- Identifying new business/project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Engineering, Product management and Sales teams.
- Conducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions.
- Building custom product demonstrations and POCs for solutions that address critical business needs of our customers.
- Analyzing and solving compute/network performance issues.
- Preparing and delivering technical training presentations and workshops.
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- This role is for an individual with the motivation and skills to drive the technical pre-sales process.
- 8+ years of Solution Engineering (or similar Sales Engineering roles) experience
- Advance practical knowledge of Networking - Data Center topologies, routing and switching protocols, and Ethernet/Infiniband
- System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data centercompute/network/storagedeployments
- Effective time management and capable of balancing multiple tasks and ability to communicate your ideas/code clearly through documents, presentation etc
- External customer facing skill-set and background
- Systems engineering, coding, and debugging skills including experience 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 of concepts for virtualization environments
- Able to think creatively to debug and solve problems
You will also be eligible for equity and .
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