Posted Aug 16

Nvidia is hiring a
Principal Architect, GPU and SOC Simulation Platforms

US, CA, Santa Clara • US, CA, Santa Clara • US, CA, Santa Clara
Full time

We are now looking for a Principal architect for GPU/SOC Simulation Platforms!

NVIDIA is seeking outstanding candidates with a deep expertise in architecture functional and performance simulation to help build GPU, SOC simulator platforms and research and develop the next generation platforms that meet the needs of our rapidly growing scale of chips, systems, and application domains.

What you’ll be doing:

  • Work with chip and product teams to understand the performance goals and questions and propose simulator designs that address them.

  • Get new simulator designs off the ground and define a roadmap for feature implementations that are aligned with project/product needs.

  • Establish and track metrics for the simulators and drive continuous improvements in speed, accuracy, and productivity.

  • Models scope may range from microarchitectural level to system level depending on the project.

  • Work with the existing modelling teams to refine the modelling infrastructure (new libraries, C++ revisions, tools) and bring in new build/regression/test methodologies.

  • Work with internal teams to help model performance for their units and get better visibility on their units before RTL

  • Apply latest advances in AI and ML to internal processes to help improve efficiency.

What we need to see:

  • A Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering or a related relevant field (or equivalent experience)

  • 12+ years of relevant work experience in computer architecture including 5+ years of leadership experience.

  • Strong programming skills in C++, System C.

  • Experience with functional simulation, virtual prototyping platforms

  • Experience with performance modeling, workload generation, architecture simulation, profiling, and analysis

  • Knowledge of industry state of the art and EDA tools for functional and performance modeling

  • Strong background in GPU and/or SOC system architecture

  • Prior experience with one or more of Computer Graphics, Deep Learning, GPU computing, and large scale systems is a major plus

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 GPUs and SoCs possible? If so, we want to hear from you! Come, join our Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

The base salary range is $268,000 - $414,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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