TPC Arch Intern, GPU SM - 2027
Nvidia
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This role on the market
15 open arch roles across 4 companies are on ApplySarthi right now, most of them in Bengaluru (2).
- AI GPU Arch Perf Analysis InternIntel
- Salesforce Technical Architect-Healthcare Domain (SF Tech Arch exp mandatory)Salesforce · bengaluru
- Power & Hardware Design Engineer, One MHS - Electrical and Control Engineering, Arch and DesignAmazon
What arch roles keep asking for: System design (33%), Generative AI (20%), C++ (13%), CRM (13%), Customer success (13%), HTML (13%), JavaScript (13%), LLMs (13%) — counted across their open postings here.
Nvidia has 3,839 open roles listed here.
- Senior System Software Engineerpune
- Senior Software Engineer - Infrastructurepune
- Senior QA Automation Engineer, Network Simulation Platform
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- Senior Linux Systems Engineer - EDA Infrastructure
Counted across 14 company job boards, updated as roles open and close.
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- Tell me about yourself, and why this role is the right next step.
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Practise the TPC Arch Intern, GPU SM - 2027 at Nvidia interview free →We are looking for a GPU C++ Modeling Engineer intern – Performance/Functional Modeling, Validation and Analysis of Shader. TPC arch team is a fast-growing team which welcomes all level engineers to join. Our aim is to explore and design better architecture of GPU which will help AI program run efficiently and rendering in games become faster and more realistic. TPC is core of GPU. It includes several units for schedule, computation and cache. You will work closely with the US team, including test writing, function and performance implementation of kinds of features and study of new features. What you’ll be doing: Investigate and propose architecture ideas based on quantitative study of existing and projected SM architecture. Develop performance and functional simulation models. Develop performance and functional testplan and tests to validate new SM architectural and features. Test and debug on simulators, RTL and real silicon. What we need to see: Good mastery of C++ language. Experience of performance/functional modelling, profiling and analysis is a plus. Practice with trace-driven and execution-driven simulation model development is a plus. Pursuing BSEE or BSCSE. MS or PhD is a plus. Ways to stand out from the crowd: Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
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Listed on workday · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.