Field Application Engineer
Nvidia
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
1,223 open application roles across 211 companies are on ApplySarthi right now, most of them in Bengaluru (99), Hyderabad (63), Delhi NCR (47).
- Global ERP Application Lifecycle Management Process OwnerRoche
- Application Development Associate Advisor - HIH - EvernorthCigna · hyderabad
- Application Security EngineerAutodesk · bengaluru
- Sr Associate Customer Support Analyst, AI/ML Application Support (8am-5pm) or (12md-9pm)Workday
- Analyst II, Application Maintenance & SupportFis
What application roles keep asking for: Python (14%), Java (13%) — counted across their open postings here.
Field Application Engineer jobs in the United States · Deep learning jobs · Linux jobs
Nvidia has 2,295 open roles listed here.
- Senior Compiler Optimization Engineer – LLVMbengaluru
- Engineering Manager - OpenBMC Platform
- Principal Firmware Engineer - Data Center Server Management
- Senior Systems Software Engineer- EDA Infrastructure
- Senior Data Backend Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for application roles keep coming back to Python, Java. 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.
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
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 Field Application Engineer at Nvidia interview free →We are currently seeking a Field Applications Engineer focused on production at scale to join our dedicated and hardworking team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in ensuring the reliability, manufacturability, and quality of our GPU products across production and deployment environments. If you have a strong passion for root cause analysis, yield improvement, and working with cross-functional engineering teams, this is an excellent opportunity for you to make a meaningful contribution! What you'll be doing: Be a technical specialist on GPU and networking products, directly supporting manufacturing, quality, and failure analysis teams to improve product reliability and yield. Actively establish and nurture technical relationships with internal engineering teams, manufacturing partners, and quality teams. Identify system failure modes, manufacturing risks, and product requirements to drive corrective actions and design/process improvements. Frequent on-site presence in labs or manufacturing sites to diagnose, reproduce, and resolve hardware and system-level failures. Support the product lifecycle from NPI (New Product Introduction) through high-volume manufacturing and field returns, ensuring quality, reliability, and continuous improvement. Develop failure analysis methodologies, test plans, and diagnostic tools for hardware validation. Provide technical training and documentation to manufacturing, test, and quality teams on failure modes and debugging techniques. Establish strong communication channels and collaborative relationships with cross-functional teams (design, validation, manufacturing and quality) to drive issue resolution, root cause determination, and corrective actions. What we need to see: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 5+ years of work-related experience in the high-tech electronics industry, particularly in manufacturing, failure analysis, validation, or hardware debug roles. Capable of excelling in a dynamic, constantly evolving environment. Strong ability to manage multiple failure investigations, escalations, and yield improvement initiatives. Expert analytical and problem-solving abilities. Strong time management and organizational skills for coordinating complex failure analysis and cross-functional investigations. Excellent written and oral communication skills in English, with the ability to clearly present failure analysis results and collaborate effectively with cross-functional engineering teams and management. Ways to stand out from the crowd: Experience with ARM and NVIDIA GPU development. Knowledge of Embedded Linux Systems, APIs, and system-level debugging tools for root cause analysis. Experience working with manufacturing partners, ODMs/OEMs, or reliability/quality teams in high-volume production environments. In-depth understanding of CPU/GPU architecture and system-level failure mechanisms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 5, 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 ₹99 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 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.