Senior Architect, GPU and SoC Modelling

We are now looking for a Senior Architect for GPUs and SoCs:

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 SOC, CPU and networking 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 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.

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

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.