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Senior Systems Software Engineer - Infrastructure

Nvidia

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2,516 open infrastructure roles across 347 companies are on ApplySarthi right now, most of them in Bengaluru (141), Hyderabad (26), Delhi NCR (13).

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 · CI/CD jobs · Kubernetes jobs · Observability jobs · Python jobs

Nvidia has 3,820 open roles listed here.

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

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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

  1. Why do you want to join Nvidia?
  2. What is your experience with SQL? Tell me one thing you learned the hard way.
  3. Tell me about an outage you handled. What did you learn from it?
  4. How do you decide what to monitor, and what should wake someone up at night?
  5. How would you cut the cloud bill of a system without hurting it?

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Do you derive more satisfaction from eliminating a manual process than from completing one? Do you look at a build system, a release pipeline, or a testing fleet and immediately see the three things held together with duct-tape, and the one architectural decision that would make all three unnecessary? We're looking for a senior engineer to invent, set, and construct the infrastructure and AI direction that enables us to create the software and firmware that drive the world's best GPUs. Join us, the GPU Firmware Infrastructure team, whose mission is crafting extraordinary automation, tools, and practices that accelerate NVIDIA's GPU innovation. We're responsible for the substrate: dev tools, build compute, test farms, artifact and release pipelines, secure signing services, and the observability that proves it all works. When our platforms are fast and trustworthy, every product ships faster! This is your chance to make waves in the industry while working alongside some of the most top-valued diverse set of minds in the business, building the best AI Supercomputers. If you're up for the task, we'd like to hear from you! What you'll be doing: Set technical direction for major platform areas, leading the architecture, roadmap, and long-term health across multiple product cycles Design and lead infrastructure initiatives that span team boundaries, building alignment with firmware, hardware, and business partners Own platform reliability: define SLIs and SLOs, instrument what isn't measured today, cut MTTR, and automate the incident response when the platform breaks Find the automation opportunities nobody has asked for yet, make the case for it and deliver Architect and invent AI-powered workflows that multiply everyone's output Set the technical bar through design review, technical writing, and mentoring, so the team makes better decisions without you in the room What we need to see: BS or MS degree in EE/CS/CE (or equivalent experience) 12+ years of infrastructure, platform, DevOps, or SRE engineering Deep expertise in modern CI/CD and test automation architecture: pipeline design, build system internals, caching, testing frameworks, and the failure modes for architectures that only appear at scale Strong Python fluency, infrastructure-as-code experience, and scripting ability History in distributed systems, cloud or on-prem compute fleets, containers, and orchestration (K8s or equivalent) Strong understanding of database concepts, schema design, object modeling, SQL or non-SQL Past ownership of cross-org production system(s) and all the lessons you've learned from supporting them Outstanding communication, leading, and teaching skills: the ability to articulate WHY a solution is correct, write clear requirements, review critically, and guide others to understanding History of growing other engineers, formally or informally Ways to stand out from the crowd: Sense of humor heavily encouraged, but not required Track record of writing technical proposals, design docs, or architecture decisions that others have acted on independently Experience using AI-assisted development tools: knowing when to trust, when to verify, and when to throw away the output Experience in developing device BIOS, firmware, or other low-level embedded software Pride and passion evident in your work Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 26, 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 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.