
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Company: NVIDIA
Core focus: Accelerated computing and AI infrastructure (GPUs, data center and AI systems, edge/robotics, automotive)
Founded: April 1993
Public company / Investor relations: Maintains an active investor relations portal with quarterly results and presentations
High-performance graphics, machine learning/AI acceleration, and full-stack AI infrastructure for enterprise, cloud and edge use cases.
1993
Semiconductors / AI infrastructure
Historical financing and IPO-related information are documented on financial profiles; NVIDIA also deploys strategic investments in startups (examples reported)
$2B
Reported $2B investment to support CoreWeave's AI compute expansion
We are now looking for a GPU C++ Modeling Engineer – 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 will US team closely, including test writing, function and performance implementation of kinds of features and study of new features. Don’t worry about the importance of work. Don’t worry about heavy workload. Join us, grow faster. What You’ll Be Doing * Investigate and propose architecture ideas based on quantitative study of existing and projected GPU architecture. * Develop performance and functional simulation models. * Develop performance and functional testplan and tests to validate new GPU architectural and features. * Test and debug on simulators, RTL and real silicon. What We Need To See * In depth knowledge of computer architecture, with good understanding of modern ISA and microprocessor implementation techniques. * Good understanding of GPU concept and pipeline, in terms of Graphics processing and parallel compute. * Good mastery of C++ language. * Experience of performance/functional modelling, profiling and analysis is a plus. * Experience with trace-driven and execution-driven simulation model development is a plus. * 3+ years working experience * BSEE, BSCSE, or equivalent required. 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! JR2000167
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