Senior Hardware and System Architect, Modelling and Automation

NVIDIA SOC Architecture team is looking for an experienced a HW or System architect with focus on Modeling, Tooling and automation. Do you want to be part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning experts to define the next generation SoC? NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, automotive and high-performance computing applications. We are building the most advanced SoC's in the world for these applications.

In this position, you will develop architecture models and tools, you will have the chance to explore and define future aspects of our architectures that bring together NVIDIA GPUs, custom processors and accelerators into a single chip. As an architect you will develop models for new power and performance optimization features, automate analysis work flows, and generate data for pre and post silicon. You will work with our HW & System architects, software, ASIC design, verification, physical design, VLSI and platform teams. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.

What you’ll be doing:

Perform performance, perf @ watt, and power modelling and analysis to optimize our architecture. System C/C++ model development and validation. For Early SW development and verification Reference

Drive automation & tools for architectural exploration and analysis work.

Post-Silicon production support with silicon debug, analysis for performance and power optimization.

Collaborate closely with our SoC Architects to understand and initiate efficiency improvements.

Understand and analyze the interplay of hardware and software architectures on future algorithms and applications.

What we need to see:

BsC, MsC or PhD in Computer Science, Electrical Engineering, or a related field.

5+ Years of experience

Programming experience and proficiency in Python, System C/C++ development skills and familiar with Linux developing environment.

Strong interpersonal and organizational skills and the ability & desire to work as a great teammate.

Excellent analytical, and verbal interpersonal skills and ability to work as part of a team

Independence and drive to lead initiatives to enhance our work flows and architectural development process.

Ways to stand out from the crowd:

Background in Power and Performance model development

Experience in architecture work flows automation and tooling

Theoretical and practical knowledge in accelerated computing, machine learning, NLP, AIGC, LLM, AI4S, etc

Experience in CUDA and deep learning frameworks (i.e TensorFlow or PyTorch).

Proficiency with Python and data analysis packages like: Pandas, NumPy.

NVIDIA is committed to encouraging 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.