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Deep Learning Performance Architect

Nvidia

Nvidia is also hiring for this role in China, Shanghai, China, Beijing.

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This role on the market

1,038 open performance roles across 316 companies are on ApplySarthi right now, most of them in Bengaluru (50), Hyderabad (26), Pune (10).

What performance roles keep asking for: Python (25%), C++ (19%), Paid media (14%) — counted across their open postings here.

Deep learning jobs · LLMs jobs · Machine learning jobs

Nvidia has 3,839 open roles listed here.

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

  1. Why do you want to join Nvidia?
  2. What is your experience with Deep learning? 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.

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Practise the Deep Learning Performance Architect at Nvidia interview free →

NVIDIA is developing GPU and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to analyze deep learning performance on different hardware 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 workloads on different architectures Identify architecture and software performance bottlenecks Explore new features and system configurations to achieve better performance and energy efficiency What we need to see: BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,) 3+ years of working experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) will be a plus 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

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Listed on workday · posted 2026-09-16. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.