Pre Production Engineer
Nvidia
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This role on the market
1,066 open production roles across 152 companies are on ApplySarthi right now, most of them in Bengaluru (17), Pune (6), Chennai (6).
- Manager, Production Network Performance, Amazon LeoAmazon
- Technicien de productionGsk
- Coordinateur·trice de production (casting)Ubisoft
- Production Validation DO NOT USE_Italy: CIC_band 8_02_testIBM
- Director, Production Optimization (Remote)Green Thumb
What production roles keep asking for: Supply chain (24%) — counted across their open postings here.
Ansible jobs · Kubernetes jobs · Terraform jobs
Nvidia has 3,839 open roles listed here.
- Senior System Software Engineerpune
- Senior Software Engineer - Infrastructurepune
- Senior QA Automation Engineer, Network Simulation Platform
- Senior Storage Software Engineer - DGX Cloud
- Senior Linux Systems Engineer - EDA Infrastructure
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for production roles keep coming back to Supply chain. 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 Kubernetes? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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Practise the Pre Production Engineer at Nvidia interview free →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. NVIDIA is looking for a passionate software engineer to join our DGX Cloud Engineering team as a Pre Production Engineer. In this role, you will play a significant part in helping to craft and guide the future of AI & GPUs in the Cloud. DSX OS is Open-source, modular software for building, operating, and scaling multi-tenant AI factory infrastructure with efficiency, performance, and reliability. You will ensure our pre-production labs and development environments for DSX OS are healthy, reliable, and ready for rapid iteration. You will engage hands-on with ground breaking, unreleased hardware and software alongside the engineers building them! If you thrive at the intersection of DevOps and R&D — and want to touch NVIDIA’s most sophisticated systems before anyone else — this is the role for you ! What you'll be doing: Own NVIDIA’s pre-production DSX OS environments — multi-rack clusters spanning multiple GPU platforms — so software developers stay focused on features, not infrastructure debugging. Drive day-1 and day-2 lifecycle operations including software upgrades, firmware rollouts, and environment bring-ups. Serve as first-level triage for critical from software developers, performing root cause and corrective action (RCCA) analysis and routing issues to the right owners. Collaborate closely with Network engineers, Production engineers, and DSX OS software component owners to identify and close gaps in the stack. Partner with QA, Bring-Up, and software development teams to reduce environment-related friction and accelerate the DSX OS development cadence. What we need to see: BS or MS in Computer Science or equivalent experience. 5+ years of hands-on software engineering experience. Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security. Expertise in Kubernetes (K8s). Experience with Infrastructure as Code tooling such as Ansible and Terraform. Ways to stand out from the crowd: Experience automating and operating infrastructure built for AI. Background with DPUs. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.