ApplySarthi

Solution Validation Engineer

Nvidia

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431 open validation roles across 63 companies are on ApplySarthi right now, most of them in Bengaluru (31), Delhi NCR (15), Hyderabad (12).

What validation roles keep asking for: Python (47%), Linux (22%), C++ (20%) — counted across their open postings here.

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Nvidia has 2,884 open roles listed here.

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

Preparing for this interview

Interviews for validation roles keep coming back to Python, Linux, C++. 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 Linux? Tell me one thing you learned the hard way.
  3. Walk me through a system you built. How was it designed, and what would you change now?
  4. Tell me about a hard bug you tracked down. How did you find the cause?
  5. How do you decide what to test, and what does good code review look like to you?

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At NVIDIA, we build the communication fabric solutions that powers the world's most demanding AI workloads. As a Junior Solution Validation Engineer, you'll dive deep into complex, large-scale networking environments — validating, debugging, and improving the systems that make breakthrough AI possible. This is a hands-on, high-impact role where your work directly influences the reliability and performance of next-generation infrastructure. What you’ll be doing: You'll own system-level validation across the full stack — from physical-layer interfaces to cluster-wide telemetry. Day to day, you'll investigate and resolve issues spanning networking, PCIe, InfiniBand, and other high-performance interfaces, driving root-cause analysis and defining corrective actions. You'll build and automate the tools that give our teams deeper visibility into system health, stability, and performance. Analyze logs and telemetry data to surface failures, anomalies, and bottlenecks before they become problems, and you'll collaborate closely with hardware, firmware, software, and AI teams to continuously improve debuggability and system resilience. Every investigation you lead and every tool you build makes our infrastructure smarter and more reliable. What we need to see: Bachelor's degree in Electrical Engineering, Computer Engineering, Information Systems, or a related field 2+ years of hands-on experience in system validation, networking, or a related engineering field Hands-on experience with Linux environments and debugging tools Proficiency in Python and/or Bash for automation and scripting Experience with telemetry, streaming data systems, or data analysis for cluster health monitoring Sharp troubleshooting instincts and a structured approach to problem-solving Eagerness to develop architecture-level understanding of complex systems Cle ar, concise communication skills and strong technical writing ability Ways to stand out from the crowd: Familiarity with PHY, networking protocols, or system architecture Experience with AI-driven monitoring and analytics platforms Knowledge of MTBI/MTBF analysis and incident investigation methodologies Hands-on experience with NVIDIA networking technologies — InfiniBand, Ethernet, or NVLink — in large-scale deployments You'll work alongside some of the brightest engineers in the industry on technology that matters. We offer competitive compensation, comprehensive health and wellness benefits, equity participation, flexible work arrangements, and continuous learning opportunities. NVIDIA invests in your growth — from mentorship programs to access to cutting-edge tools and research. NVIDIA is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity, or veteran status. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process. If you require an accommodation, please contact us.

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Listed on workday · posted 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.