Senior AI Systems Engineer
Nvidia
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2,569 open systems roles across 304 companies are on ApplySarthi right now, most of them in Bengaluru (96), Hyderabad (51), Pune (15).
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What systems roles keep asking for: Python (25%), System design (14%), C++ (13%), Linux (13%) — counted across their open postings here.
LLMs jobs · Machine learning jobs · Microservices jobs · Python jobs
Nvidia has 2,140 open roles listed here.
- Senior Software Architect - Deep Learning and HPC Communications
- Principal Software Engineer, Rack-Scale System Software — CSP Engagements
- Senior Systems Software Engineer, Compute Stack Acceleration
- Senior Software Engineer, Object Storage - DGX Cloud
- Senior Linux Kernel Systems Software Engineer – CSP Engagements
Counted across 14 company job boards, updated as roles open and close.
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Interviews for systems roles keep coming back to Python, System design, C++, Linux. 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 did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the Senior AI Systems Engineer at Nvidia interview free →NVIDIA is looking for a talented AI Solutions Engineer to join our innovative AI team. The team develops advanced AI platforms and applications including agentic workflows, Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) based solutions, AI agents, MCPs, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. Your responsibilities will include implementing state-of-the-art AI technologies, developing all aspects of the project – AI, code, data preparation, evaluation, and deployment. We are looking for a motivated teammate who thrives on solving complex problems with AI and continuously explores emerging techniques in this rapidly evolving field. What you'll be doing: Design and implement Agentic platforms and workflows to simplify the agentic experience across the company. End-to-end solutions Implementation to increase the organization quality and productivity. Develop AI solutions that integrate seamlessly with existing products and workflows Build evaluation frameworks to measure and improve AI system performance Collaborate with cross-functional teams to identify and implement AI opportunities Collect and prepare data from multiple large scale sources for AI training and inference What we need to see: B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field 6+ years of experience in software development and building production-grade software systems. 1+ years of experience building LLM-based solutions, AI agents, and AI workflows. Proficiency in Python Strong understanding of modern AI concepts and practical applications Proficiency in Python Ways to stand out from the crowd: Strong understanding of modern Machine Learning domains, known algorithms, architectures and techniques Experience developing large scale software, including in a micro services architecture Experience with vector databases, embedding technologies and RAG systems Experience developing AI agent architectures and orchestration systems
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Listed on workday · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.