ApplySarthi

Senior Solution Architect, AI Infrastructure

Nvidia

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

2,698 open infrastructure roles across 369 companies are on ApplySarthi right now, most of them in Bengaluru (143), Hyderabad (25), Delhi NCR (12).

What infrastructure roles keep asking for: Python (32%), AWS (30%), Observability (26%), Kubernetes (25%), System design (25%), Linux (19%), Terraform (19%), CI/CD (17%) — counted across their open postings here.

Solutions Architect jobs in the United States · Remote Solutions Architect jobs · Kubernetes jobs

Nvidia has 3,855 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for infrastructure roles keep coming back to Python, AWS, Observability, Kubernetes. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Kubernetes? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Senior Solution Architect, AI Infrastructure at Nvidia interview free →

NVIDIA is looking for a Senior AI Infrastructure Solutions Architect to join its Public Sector Continuous Bring Up team This person will be passionate about crafting an entire market and serving Public Sector customers during the AI transformation. The ideal candidate will have a strong technical background in accelerated computing technology and artificial intelligence. They will apply these skills to support government programs within the Public Sector market. They will collaborate closely with product, engineering, and customers to accelerate NVIDIA technology in the design to deployment of large-scale GPU infrastructure. A successful candidate will demonstrate skill in transcending boundaries, working effectively with product teams, account managers, field organization, and customers to drive success. You must be a U.S. Citizen to apply for this position. What you’ll be doing: Working with NVIDIA Cloud Partners and OEMs in Public Sector on large data center GPU server and networking system deployments. Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Become the primary technical driver for customers during the build, deployment, construction, integration, and production of GPU infrastructure and applications throughout the entire customer lifecycle. Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions. Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA. Analyze and debug compute/network configuration and performance issues to deliver performant clusters. Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications. Lead communication with customers and NVIDIA Management. Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools. What we need to see: The position requires solving complex multidisciplinary problems. Responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions with the customer. BS/MS/PhD in Electrical Engineering, Computer Science or equivalent experience. 6+ years supporting Solution Engineering (or similar Sales Engineering, Solution Architecture) including experience working directly with partners and customers. Experience with high performance Networking or CPU/GPU application acceleration. Background with schedulers such as SLURM, LSF, UGE, etc. Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience. An ability to travel to customer sites up to 20% of the time. Ways to stand out from the crowd: Familiarity with NVIDIA GPUs, NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager. Experience building and/or integration artificial intelligence solutions. Experience with bring up and deployment of large GPU clusters, including deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance. Experience with MPI (Message Passing Interface). Experience working with enterprise developers and strong customer-facing skills. Active Security Clearance is highly desirable. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you! Your base salary will be determined based on your 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 September 15, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.