Nvidia Senior Data Scientist System Architect 

Israel, North District 

594996380

In this position, you will develop Data sets, AI Models and Train AI models for advanced system architecture Power and Performance features, 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 part of the development flow you will be involved with building performance models, automating analysis work flows, data generation and characterisation 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:

• Dataset generation, preparation, AI model training and algo tuning.

• 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:

• B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.

• 5+ Years ofrelevantexperience

• 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:

• Data scientist experience

• 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.