ApplySarthi Match jobs to your CV

Developer Technology Engineer – AI

Nvidia

Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

1,247 open technology roles across 177 companies are on ApplySarthi right now, most of them in Bengaluru (48), Hyderabad (44), Delhi NCR (6).

Nvidia has 2,079 open roles listed here.

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

Preparing for this interview

1,247 open technology roles are hiring right now across 177 companies, mostly in Bengaluru — so the questions repeat. Practise them 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 C++? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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 Developer Technology Engineer – AI at Nvidia interview free →

NVIDIA is looking for a passionate, world-class computer scientist s and engineers to work in its Compute Developer Technology ( DevTech ) team. DevTech is an elite team bridging customer requirements and NVIDIA solutions. Inside this team, you will conquer engineering and applied research challenges originated from real-world use cases together with talented, skilled and warm-hearted teammates. All talents of different backgrounds are welcome! We don't assume you know everything about GPU and CUDA. Especially, if you consider yourself an excellent C++ engineer and really love programming, please do submit your resume! What you'll be doing: Research and develop cutting-edge techniques in deep learning, machine learning, HPC (High Performance Computing), graphs and data analytics, and perform in-depth analysis and optimization to ensure the best performance on NVIDIA current- and next-generation accelerated computing platform, including GPU, CPU and DPU. Work directly with key customers to understand the current and future problems they are solving and optimize their workloads to maximize performance on our platform. Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to design and develop next-generation architectures, software platforms, and programming models. What we need to see: MS or PhD from university in engineering or computer science or related disciplines. 2+ years working experience Strong knowledge of C/C++, software design, programming techniques, or AI algorithms and system. Experience with accelerated computing, ideally CUDA C/C++/Python. Good communication and problem-solving skills. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.

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 2026-09-23. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.