ApplySarthi

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

1,473 open application roles across 218 companies are on ApplySarthi right now, most of them in Bengaluru (113), Hyderabad (104), Delhi NCR (67).

What application roles keep asking for: Agile (18%), Java (18%), Python (18%), Azure (12%), SQL (12%) — counted across their open postings here.

Field Application Engineer jobs in the United States · C++ jobs · Linux jobs · Python jobs

Nvidia has 2,839 open roles listed here.

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

Preparing for this interview

Interviews for application roles keep coming back to Agile, Java, Python, Azure. 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 System design? Tell me one thing you learned the hard way.
  3. How would you design an API for a feature you have worked on?
  4. What do you do when a production issue happens on your code?
  5. Walk me through a system you built. How was it designed, and what would you change now?

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 looking for a Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry. NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers. What you’ll be doing: Provide onsite support for large datacenter deployments of NVIDIA AI solutions. Solving complex hardware and deployment issues Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions. Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts. Identify customer architectures and key product requirements in the enterprise AI market. Provide technical and sales training to the direct sales team and channel partners. Establish strong relationships and communication channels with internal teams. What we need to see: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 8+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role. In-depth knowledge of servers, storage systems, network devices, and other data center hardware Capable of working in a constantly evolving environment without losing focus. Ability to multitask effectively in a multifaceted environment. Expert analytical and problem-solving skills. Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects. Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering. Ways to stand out from the crowd: Experience with large-scale rollouts of datacenter equipment. Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc. C/C++ and Python programming skills. Embedded Linux System, APIs, and similar embedded OS knowledge. Experience working with OEMs in the industrial, military, and ruggedized computing space. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 18, 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

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.