ApplySarthiDeep Learning Performance Intern - 2027
Nvidia
Nvidia is also hiring for this role in China, Shanghai.
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Skills named in this job
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This role on the market
875 open performance roles across 256 companies are on ApplySarthi right now, most of them in Bengaluru (45), Hyderabad (20), Pune (7).
- Senior Performance CopywriterJobgether
- Performance Ops Specialist II, Delivery Feedback and Insights Amazon
- Executive Director, Talent & Performance ManagementJPMorgan
- Project Manager | Reporting&Business | CEE Managed Services Transformation| Performance ManagementPwc
- Senior Engineer, Competitive Benchmarking & PerformanceElastic
What performance roles keep asking for: Python (22%), C++ (20%), Paid media (12%) — counted across their open postings here.
Deep learning jobs · Machine learning jobs
Nvidia has 3,054 open roles listed here.
- Senior Solutions Architect – Large Scale AI Training
- Senior Solutions Architect – Large Scale Neural Networks Inference
- Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure
- Senior Cloud Infrastructure and DevOps Solutions Architect
- Senior Software Development Engineer, Neural Graph Infrastructure
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for performance roles keep coming back to Python, C++, Paid media. 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.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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 Deep Learning Performance Intern - 2027 at Nvidia interview free →NVIDIA is developing GPU and system architectures that accelerate deep learning, automotive and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, perf optimization, projections, and analysis effort. In this position, you will have the chance to optimize deep learning processor and software architecture and make a significant impact in a dynamic technology focused company What you’ll be doing : Analyze performance of various deep learning algorithms on different architectures Identify architecture and software performance bottlenecks and propose optimizations Explore new features and hardware capabilities on deep learning applications What we need to see: BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,) Be familiar with GPU or accelerator-based deep learning platform and software stack A strong background in computer architecture Experience on system architecture design and performance optimization Familiar with machine learning and deep learning frameworks #deeplearning
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Listed on workday · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.