Solutions Architect, HPC Systems Engineer
AI summary of the role
NVIDIA seeks an experienced Solutions Architect to drive end-to-end integration of AI data center GPU and networking infrastructure with strategic Consumer Internet and IT Services customers.
What you’ll do
- Guide customer discussions on network topologies, compute/storage, and support bring-up of server/network/cluster deployments.
- Identify new project opportunities for NVIDIA products in data center and AI applications, collaborating with engineering, product, and sales teams.
- Act as a trusted advisor through regular technical customer meetings covering roadmap, cluster debug, and feature discussions.
- Build custom product demonstrations and POCs addressing critical customer business needs.
What you’ll bring
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, 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 (Ethernet/InfiniBand switching and routing) and data center infrastructure (power/cooling).
Technologies
GPU · CUDA · InfiniBand · Ethernet · DPU · RoCE · ARM · Linux · Kubernetes · Docker
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Technical pre-sales · Evidence for this classification:
NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution Architecture Engineering (SA) team focused on supporting accelerated computing applications. As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product technology. What You'll Be Doing: Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on
More from the job description
NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution Architecture Engineering (SA) team focused on supporting accelerated computing applications. As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product technology. What You'll Be Doing: Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Identifying 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 Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster deb [... source excerpt omitted ...] management and capable of balancing multiple tasks Ability to communicate your ideas/code clearly through documents, presentation etc Ways To Stand Out From The Crowd: 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 We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site vi [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job 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 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, n
Employer postings · Data from · Sources