Senior Deep Learning Performance Architect - LPU
Nvidia
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This role on the market
1,088 open performance roles across 329 companies are on ApplySarthi right now, most of them in Bengaluru (49), Hyderabad (28), Pune (10).
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What performance roles keep asking for: Python (25%), C++ (20%), Paid media (14%), SQL (12%) — counted across their open postings here.
C++ jobs · Deep learning jobs · LLMs jobs · Machine learning jobs
Nvidia has 3,855 open roles listed here.
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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, SQL. 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.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Senior Deep Learning Performance Architect - LPU at Nvidia interview free →We are now looking for a Senior Deep Learning Performance Architect! NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you! What you'll be doing: Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency Construct, investigate, and test popular deep learning algorithms and applications Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture Collaborate across the company to guide the direction of AI, working with software, research, and product teams What we need to see: A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience Strong mathematical foundation in machine learning and deep learning Expert programming skills in C, C++, and/or Python Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: Background with systems-level performance modeling, profiling, and analysis Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 15, 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.
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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.