Principal Software Engineer - Employee Productivity
Nvidia
Nvidia is also hiring for this role in US, CA, Santa Clara.
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This role on the market
108 open productivity roles across 42 companies are on ApplySarthi right now, most of them in Hyderabad (4), Bengaluru (3), Pune (2).
- Senior Software Engineer, Infrastructure / Efficiency / ProductivityRoku
- Head of AI Enablement & Technology ProductivityExperian · hyderabad
- Analyst, Sales Productivity3M
- Associate Director, Analytics Modernization & ProductivityNovartis · hyderabad
- Staff Software Engineer, AI Developer ProductivityJobgether
What productivity roles keep asking for: CI/CD (40%), Kubernetes (35%), Observability (32%), Python (32%), LLMs (22%), Supply chain (19%), Elasticsearch (17%), System design (17%) — counted across their open postings here.
Software Engineer jobs in the United States · Remote Software Engineer jobs · CI/CD jobs · Generative AI jobs · Kubernetes jobs · LLMs jobs
Nvidia has 3,820 open roles listed here.
- Software Developer - Networking
- Manager, Silicon Circuit and Power Integrity - Silicon Co-Design Group
- Senior Physical Design Methodology Engineerbengaluru
- Electro Optics Student
- Manager, Software Verification
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for productivity roles keep coming back to CI/CD, Kubernetes, Observability, Python. 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 CI/CD? 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?
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 Principal Software Engineer - Employee Productivity at Nvidia interview free →NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for 30 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding 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, encouraging 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. We are looking for a Principal Software Engineer to drive the evolution of our AI-powered employee experiences across web and mobile, partnering with our global teams to push the technical boundaries of what’s possible. What you’ll be doing: Lead and code end-to-end features that power a seamless, AI-rich employee experience across web and native mobile apps. Architect highly performant services and UIs that surface personalized content, knowledge, and search results to a global workforce. Embed LLM and vector-search capabilities into existing product surfaces, driving relevance and continuous learning loops. Own system design reviews, code reviews, and technical roadmaps raising the engineering bar and mentoring engineers across the team. Integrate third-party HRIS, collaboration, and productivity platforms to create cohesive, automated user journeys. Champion modern front-end patterns (React/Next.js, TypeScript, Tailwind) and cloud-native back-end practices (K8s, containers, CI/CD). Instrument robust observability, tracing, structured logging, and SLA dashboards, helping our SREs achieve 24×7 reliability for employees in every region. Uphold security, privacy, and accessibility standards across all user journeys. What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) 15+ years of full-stack product engineering, including 3+ years at the principal or staff level guiding cross-functional teams. Proven track record delivering consumer-grade web and/or mobile experiences at scale. Expertise in search, recommendation, or applied-AI systems. Hands-on experience with modern cloud infrastructure, K8s, and automated CI/CD. Strong data-modeling with relational and NoSQL stores. Fluency in application security. Excellent mentoring, comfortable setting vision and rolling up sleeves. Ways to stand out from the crowd: Shipped gen AI features (RAG, copilots, chatbots) to thousands of daily users. Contributions to open-source search or front-end frameworks. NV IDIA 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, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 391,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 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 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.