Senior Solution Architect, AI Infrastructure
About The Position
NVIDIA is seeking a Senior AI Infrastructure Solutions Architect for its Public Sector Continuous Bring Up team. The role supports government programs and Public Sector customers through AI transformation, applying expertise in accelerated computing and artificial intelligence to help design, deploy, and bring up large-scale GPU infrastructure. The architect collaborates with product, engineering, account management, field teams, partners, and customers to advance NVIDIA technology from design through deployment. The position serves as a primary technical driver and trusted advisor throughout the customer lifecycle, including infrastructure construction, integration, production, and application deployment. It requires solving complex multidisciplinary problems, leading technical issue resolution across engineering teams, and coordinating solutions with customers. Customer data center visits are required during bring-up, with travel to customer sites up to 20% of the time.
Requirements
- U.S. citizenship is required.
- Bachelor’s, master’s, or doctoral degree in Electrical Engineering, Computer Science, or equivalent experience.
- At least 6 years of experience supporting solution engineering or similar sales engineering or solution architecture work, including direct work with partners and customers.
- Experience with high-performance networking or CPU/GPU application acceleration.
- Background with schedulers such as SLURM, LSF, or UGE.
- Experience with benchmarking tools such as HPL, NCCL tests, and MLPerf.
- Kubernetes experience.
- Ability to travel to customer sites up to 20% of the time.
Nice To Haves
- Familiarity with NVIDIA GPUs, NVIDIA networking technologies such as NICs, RoCE, and InfiniBand, and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
- Experience building and/or integrating artificial intelligence solutions.
- Experience bringing up and deploying large GPU clusters, including deploying and optimizing high-speed InfiniBand or Ethernet networks, and understanding how network architecture affects GPU cluster performance.
- Experience with MPI (Message Passing Interface).
- Experience working with enterprise developers and strong customer-facing skills.
- Active security clearance.
Responsibilities
- Work with NVIDIA Cloud Partners and OEMs in the Public Sector on large data center GPU server and networking system deployments.
- Guide customer discussions on network design, compute, and storage, and support server, network, and cluster bring-up deployments.
- Visit customer data centers during the bring-up phase.
- Serve as the primary technical driver for customers throughout the build, deployment, construction, integration, and production of GPU infrastructure and applications.
- Act as a trusted customer advisor through regular technical meetings covering product roadmaps, cluster issue debugging, feature discussions, and new technology solutions.
- Partner with solution architects, account managers, engineering, product, and business leaders to align strategies, assess technical needs, and secure business opportunities.
- Analyze and debug compute and network configuration and performance issues to deliver performant clusters.
- Prepare and deliver technical content, including presentations, workshops, reference architectures, tutorials, and publications.
- Lead communication with customers and NVIDIA management.
- Provide constructive feedback to engineering and product teams on requirements, customer experience, documentation, and tools.
- Lead resolution of technical issues across multiple engineering teams and coordinate solutions with customers.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
