Senior Systems Software Engineer - Infrastructure
Nvidia
Nvidia is also hiring for this role in US, CA, Santa Clara.
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This role on the market
2,516 open infrastructure roles across 347 companies are on ApplySarthi right now, most of them in Bengaluru (141), Hyderabad (26), Delhi NCR (13).
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What infrastructure roles keep asking for: AWS (30%), Python (30%), Observability (25%), Kubernetes (24%), System design (24%), Linux (20%), Terraform (19%), CI/CD (17%) — counted across their open postings here.
Systems Software Engineer jobs in the United States · Remote Systems Software Engineer jobs · AWS jobs · Azure jobs · Docker jobs · GCP jobs
Nvidia has 3,820 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for infrastructure roles keep coming back to AWS, Python, Observability, Kubernetes. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- How would you cut the cloud bill of a system without hurting it?
- How do you keep secrets and access safe in your infrastructure?
- Walk me through how code gets from a commit to production where you work.
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Practise the Senior Systems Software Engineer - Infrastructure at Nvidia interview free →NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables unique creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. You will design and build the next-generation architecture and software for managing storage services to support our engineers, architects with NVIDIA GPU design, VLSI, Corporate, and AI/ML teams. You will build the self-service architecture and capabilities to enable NVIDIA GPU design teams and handle services that are very critical for all NVIDIA users that require 24/7/365 availability and support. Your duties will involve leading and supporting the design of storage platform software services that not only impact revenue but also form the backbone of NVIDIA engineering infrastructure services and various business applications. What you’ll be doing: Define, Build, and manage an all-encompassing Enterprise software engineering platform to manage storage infrastructure and services consisting of a variety of enterprise appliances, networks, and open-source technologies Design and expand REST API’s that thousands of engineers will rely on for on-demand storage management to manage their workflows. Build and Integrate provisioning, metrics, monitoring, and software to enable management workflows for storage services. Develop tooling to automate deployment and management of large-scale design-storage environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. Document the general procedures and practices, perform technology evaluations, and coordinate and track system orders, installations and deployment. What we need to see: BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience Extensive experience building and owning large-scale, multi-threaded, distributed backend systems Experience designing and building REST APIs in Python or Go Background with containerization and orchestration tools (e.g., Docker, Kubernetes) Experience with cloud infrastructure - AWS, Azure or Google Cloud. Background with telemetry stacks, like Grafana, Prometheus monitoring, AlertManager, and Kibana Strong collaborative and social skills, specifically a shown ability to effectively guide and influence within a dynamic matrix environment Ways to stand out from the crowd: Demonstrated work with Open-Source software: building, debugging, patching, and contributing code. Experience with solving Linux storage-related problems Experience with design, deployment, and management of Enterprise NAS solutions like NetApp, Pure Storage, Distributed filesystems like Lustre, and S3 storage. Background with HPC cluster management tools such as Slurm, PBS, LSF, etc. 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 and enjoy having fun, then 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 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 19, 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.
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Listed on workday · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.