Software Engineer - AI Solutions
Nvidia
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3,482 open solutions roles across 496 companies are on ApplySarthi right now, most of them in Bengaluru (125), Hyderabad (33), Delhi NCR (30).
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What solutions roles keep asking for: AWS (30%), Python (22%), Stakeholder management (16%), Azure (16%), Customer success (16%), SaaS (14%), GCP (14%), Product management (14%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for solutions roles keep coming back to AWS, Python, Stakeholder management, Azure. 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 LLMs? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Software Engineer - AI Solutions at Nvidia interview free →We are looking for a talented Software Engineer to join the AI Solutions team in NVIDIA's Linux Networking Drivers organization. Our mission is to bring AI into every stage of how we build software: design, development, verification, debugging, and release. We build AI agents and tools that make our engineers faster and our drivers better. This is a hands-on development role in a field that changes every few months. You will turn new AI capabilities into solutions that engineers use every day, and you will help decide where AI can make the biggest difference next. If you are passionate about AI and want to apply it to a complex, real engineering domain, we want to hear from you. What you will be doing: Design, develop, and deploy AI agents and tools for the software development lifecycle. Work with developers and verification engineers to understand their workflows and find where AI can help most. Measure the quality of AI solutions and improve them based on data. Connect AI solutions to engineering systems and data, and run them reliably in production. Follow the fast progress of AI models and tools, and bring the best of them into the team's work. What we need to see: B.Sc. in Computer Science, Software Engineering, or a related field, or equivalent experience. 3+ years of software development experience. Strong Python skills. You build well-structured systems, not just scripts. Hands-on experience building applications with LLMs, such as agents, tool use, or RAG. Strong problem-solving skills and the ability to take a feature from idea to production. Excellent verbal and written English. We are a multi-language team that works across sites and time zones. Ways to stand out from the crowd: Experience evaluating the quality of LLM-based systems. Knowledge of the Linux kernel, networking, or device drivers. Experience with test automation or verification. Full stack or DevOps experience. A track record of AI tools that real users adopted. NVIDIA is committed to fostering a diverse 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 2026-10-26. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.