Senior Architect, GPU and SoC Modelling
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- C++
- Python
- Perl
- GCC
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
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:
• Modeling and analysis of graphics and / or SOC algorithms and features
• Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models
• Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required.
• Develop tests, test plans, and testing infrastructure for new architectures/features.
• Code coverage analysis and reporting
• Mentor younger engineers and help sustain good coding practices.
• Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change
• Help develop AI based tools to increase efficiency.
What we need to see:
• Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)
• 8+ years of relevant work experience or MS with 5+ years of experience or PhD with 3+ 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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Do you love the challenge of crafting the highest-performance silicon GPUs and SoCs possible? If so, we want to hear from you! Come, join our Architecture Simulation and Modelling team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
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Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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