AI Developer Technology 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
1,383 open technology roles across 189 companies are on ApplySarthi right now, most of them in Bengaluru (53), Hyderabad (49), Mumbai (10).
- Security Specialist – Physical Security TechnologyMicron
- Senior Counsel, SaaS & Technology Transactions (Fixed-term)Thomsonreuters
- Enterprise Technology Risk Management- ManagerStatestreet · hyderabad
- Chief Technology Officer (m/w/d)CUREosity GmbH
- Live Ops Support Engineer, Prime Video Experience TechnologyAmazon · hyderabad
What technology roles keep asking for: Stakeholder management (21%), Python (17%), AWS (16%), Agile (15%) — counted across their open postings here.
C++ jobs · Linux jobs · Machine learning jobs · Python jobs
Nvidia has 2,989 open roles listed here.
- Senior Software Verification Engineer
- Developer Technology Engineer - New College Graduate 2027
- Senior Director, Corporate Finance
- Senior Systems Software Engineer, CUDA and AI HW Profiler
- Senior Manager, Engineering - Data Center Firmware
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for technology roles keep coming back to Stakeholder management, Python, AWS, Agile. 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 C++? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- 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 AI Developer Technology Engineer at Nvidia interview free →NVIDIA is the engine of modern AI. For over 25 years our work in accelerated computing has redefined computer graphics, autonomous machines, and now physical AI. We are looking for an AI Developer Technology Engineer to join our DevTech team in China. this role you will work directly with the developers and researchers building the next generation of robots, helping them get the most out of NVIDIA GPUs across simulation, training, and deployment. You will be part of an exceptionally experienced, globally distributed team dedicated to pushing the boundaries of embodied AI. What you’ll be doing Partner with leading robotics developers and research teams in China to design, optimize, and scale embodied AI workloads on NVIDIA platforms Develop on and extend frameworks such as Isaac Lab, Megatron Core and VLM/VLA/WA inference framework, ensuring flawless performance at scale Profile and optimize GPU-based physics simulation, robot foundation model training and inference pipelines; drive the findings back into our products Build reference workflows and samples for imitation learning, reinforcement learning, and VLA/WA/VLM model training/inference Discuss your approach and results with NVIDIA engineers and external developers to continuously improve processes Collaborate closely with architecture, research, libraries, tools, and system software teams to invent and develop next-generation architectures, software platforms, and programming models Represent NVIDIA technically at developer events, workshops, and customer engagements in the region What we need to see: Bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience. 3+ working year experience. Experience with C++, CUDA, Python, and Linux. Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo. Strong communication skills and the ambition to grow and learn about building machine learning applications, optimization, and software engineering. Prior involvement with embodied AI or a history at humanoid robotics firms with a focus on physics simulation. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, 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
- 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 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.