Senior Data Scientist and System Architect

NVIDIA is developing processor and system architectures at the forefront of accelerating machine learning, automotive and high-performance computing applications.
Data
Staff Software Engineer
Contact Company
5+ years of experience
AI · Automotive
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Description For Senior Data Scientist and System Architect

NVIDIA SOC Architecture team is looking for a Senior Data Scientist with SW development skills and HW-System architecture experience. You'll be part of the Artificial Intelligence Revolution, working with world-class systems architects and deep learning experts to define the next generation SoC. NVIDIA is developing processor and system architectures at the forefront of accelerating machine learning, automotive and high-performance computing applications, building the most advanced SoCs in the world.

In this role, you will:

  • Develop datasets, AI Models, and train AI models for advanced system architecture Power and Performance features
  • Explore and define future aspects of architectures that bring together NVIDIA GPUs, custom processors, and accelerators into a single chip
  • Build performance models, automate analysis workflows, and generate data for pre and post silicon characterization
  • Work with HW & System architects, software, ASIC design, verification, physical design, VLSI, and platform teams
  • Perform performance, perf @ watt, and power modeling and analysis to optimize architecture
  • Develop and validate System C/C++ models for early SW development and verification
  • Drive automation & tools for architectural exploration and analysis
  • Provide post-Silicon production support with silicon debug and analysis for performance and power optimization
  • Collaborate with SoC Architects to initiate efficiency improvements
  • Analyze the interplay of hardware and software architectures on future algorithms and applications

Requirements:

  • B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or related field
  • 5+ years of relevant experience
  • Programming proficiency in Python, System C/C++
  • Familiarity with Linux development environment
  • Strong interpersonal and organizational skills
  • Excellent analytical and verbal communication skills
  • Independence and drive to lead initiatives

Preferred qualifications:

  • Data scientist experience
  • Background in Power and Performance model development
  • Experience in architecture workflows automation and tooling
  • Knowledge in accelerated computing, machine learning, NLP, AIGC, LLM, AI4S
  • Experience with CUDA and deep learning frameworks (TensorFlow or PyTorch)
  • Proficiency with Python data analysis packages like Pandas and NumPy

NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.

Last updated 7 months ago

Responsibilities For Senior Data Scientist and System Architect

  • Develop datasets, AI Models, and train AI models for advanced system architecture
  • Build performance models and automate analysis workflows
  • Perform performance, perf @ watt, and power modeling and analysis
  • Develop and validate System C/C++ models
  • Drive automation & tools for architectural exploration
  • Provide post-Silicon production support
  • Collaborate with SoC Architects on efficiency improvements
  • Analyze hardware and software architectures for future algorithms

Requirements For Senior Data Scientist and System Architect

Python
Linux
  • B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or related field
  • 5+ years of relevant experience
  • Programming proficiency in Python, System C/C++
  • Familiarity with Linux development environment
  • Strong interpersonal and organizational skills
  • Excellent analytical and verbal communication skills
  • Independence and drive to lead initiatives

Interested in this job?