Senior Hardware Validation Engineer
Nvidia
Nvidia is also hiring for this role in US, CA, Santa Clara, Israel, Raanana, Israel, Yokneam.
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
529 open validation roles across 70 companies are on ApplySarthi right now, most of them in Bengaluru (35), Delhi NCR (22), Hyderabad (13).
- Memory Electrical Validation EngineerIntel
- Ingénieur(e) Intégration & Validation CryogéniqueQuandela
- Sr. SDM, Verification and Validation, Amazon Leo, D2D SoftwareAmazon
- Software Quality Engineer (Python, AI & Systems Validation)Nokia
- Production Validation DO NOT USE_Italy: CIC_band 8_02_testIBM
What validation roles keep asking for: Python (51%), Linux (22%), C++ (19%), Test automation (13%) — counted across their open postings here.
C++ jobs · Deep learning jobs · Python jobs
Nvidia has 3,857 open roles listed here.
- Senior Network Infrastructure Engineermumbai
- Principal Architect, AI Inference Networking - NIXL and Dynamo
- Global Commodity Manager, Passive Electrical Commodity
- Senior AI Engineer – Palantir Foundry and AIP Forward Deployed Engineer
- Software Engineering Intern, NCCL - 2027
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++, Test automation. 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 Deep learning? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- 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?
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 Senior Hardware Validation Engineer at Nvidia interview free →NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In this role you will be working with a team of HW/SW engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products. What you will be doing: Own validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production. Collaborate with ODMs, component suppliers, and QA teams to ensure no gaps in coverage. Coordinate internal and external teams in different times zones. Develop system level stress and performance testing strategies using industry leading Deep Learning/AI applications. Solve complex system level hardware and software issues on GPU accelerated computing platforms. What We Need to See: Ability to work on site in hardware lab environment 5 days a week BSEE or BSCE or equivalent experience High speed IO validation 5+ years or more of experience in validating and debugging complex systems. Developing/running real world workload and factory diagnosis tools Outstanding verbal and written communication skills. Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules. Familiarity with lab instrumentations like Oscilloscopes (Digital Multi Meter) Deep understanding of computing architectures. Coding experience with programming and scripting languages such as C/C++, JS and Python. Ways to stand out from the crowd: Experience with datacenter products including system management, security, networking, and storage. Background with x86/Arm server architectures and accelerated GPU computing. Track record of continuous process improvement with a passion for tools and automation. Proven knowledge in Circuit and Waveform analysis. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 8, 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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Head of Startups - India and South AsiaNvidia · bengaluru
- Manager, AI/HPC Infrastructure Technical Delivery — IndiaNvidia · pune
- Architect – AI-Powered Performance Verification AutomationNvidia · bengaluru
- Data Center Infrastructure SpecialistNvidia · bengaluru
- Senior Developer Relations ManagerNvidia · bengaluru
- Server Performance Architect - HardwareNvidia · bengaluru
- Senior Solutions Architect, Infiniband and Networking Ethernet - NVISNvidia · bengaluru
- Senior Software Engineer, Fabric Networking - GPUNvidia · bengaluru
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹149 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on workday · posted 2026-09-06. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.