Senior Architect - GPU Modelling
Job Summary
Job Description
NVIDIA seeks a Senior Architect with 8+ years of experience in GPU modelling and architecture. Strong programming in C++/C, familiarity with SystemC & TLM, and experience in modelling, analysis, and validation of chip architectures are required. Experience with Docker, Jenkins, Python, and Perl are preferred.
Must have:
- GPU Modelling
- C++ Programming
- Chip Architectures
- SystemC & TLM
Good to have:
- Docker, Jenkins
- Python, Perl
- Build Systems
- Toolchains & Libraries
Perks:
- Competitive Salaries
- Generous Benefits
8 skills required
Job Details
About the job
The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency.
What You'll Be Doing
What You'll Be Doing
- Modeling and analysis of graphics and / or SOC algorithms and features
- Work in a team to document, design, develop tools to analyze and simulate, validate, and verify models
- Develop tests, test plans, and testing infrastructure for new architectures/features
- Code coverage analysis and reporting
- Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) with 8+ years of relevant work experience or MS with 3+ years of experience or PhD with 2+ years of experience
- Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST)
- Computer Architecture background with experience in modeling with SystemC & TLM preferred
- Familiarity with Docker, Jenkins, Python, Perl
- Excellent communication and interpersonal skills and ability to work in a distributed team environment
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About The Company
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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