NVIDIA SOC Architecture team is looking for a Senior Data Scientists with SW development skills and HW-System architecture experience. 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 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 of relevant 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:
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.
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.
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What We Do
NVIDIA’s invention of the GPU in 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, NVIDIA is increasingly known as “the AI computing company.”
