Senior AI Solutions Architect - Engineering

NVIDIA is the world leader in accelerated computing, pioneering solutions to tackle challenges no one else can solve. Their work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Senior AI Solutions Architect - Engineering

We are seeking an AI expert to lead the strategy and implementation of AI and ML solutions for our System Design domain. The role involves researching, developing, and deploying cutting-edge AI and ML algorithms and models to enhance the performance, efficiency, and quality of our EDA tools and workflows. You will collaborate with engineers, designers, and outside tools vendors to understand challenges and deliver innovative AI and ML solutions in the System Design domain.

Key Responsibilities:

  • Lead the vision and strategy for deployment of AI tools in system development
  • Research, develop, and deploy AI and ML algorithms and models to improve products and time-to-market
  • Collaborate with design engineers and partners to explore needs and define AI-based solutions
  • Work with outside CAD tools providers to drive AI solutions in off-the-shelf tools
  • Stay updated with the latest trends in AI, ML, and EDA

Requirements:

  • Master's or PhD in computer science, electrical engineering, or related fields
  • 8+ years in SW development and/or architecture, with 3+ years delivering AI/ML frameworks
  • Proven experience in developing and deploying AI solutions
  • Proficiency in Python, C++, and other programming languages
  • Strong knowledge of AI and ML concepts (deep learning, reinforcement learning, computer vision, LLMs, Generative AI)
  • Excellent communication, presentation, and leadership skills
  • Creative, analytical, and problem-solving attitude
  • Background in CAD tool development is a plus

NVIDIA offers an exciting opportunity to work with some of the most brilliant and talented people in the technology world. We value diversity and provide equal opportunities to all qualified candidates.

Last updated 2 months ago

Responsibilities For Senior AI Solutions Architect - Engineering

  • Lead the vision and strategy for deployment of AI tools in system development
  • Research, develop, and deploy AI and ML algorithms and models
  • Collaborate with design engineers and partners to explore needs and define AI-based solutions
  • Work with outside CAD tools providers to drive AI solutions
  • Stay updated with the latest trends in AI, ML, and EDA

Requirements For Senior AI Solutions Architect - Engineering

Python
  • Master's or PhD in computer science, electrical engineering, or related fields
  • 8+ years in SW development and/or architecture
  • 3+ years of experience delivering AI/ML frameworks
  • Proven experience in developing and deploying AI solutions
  • Proficient in Python, C++ and other programming languages
  • Strong knowledge of AI and ML concepts and techniques
  • Excellent communication, presentation, and leadership skills
  • Creative, analytical and problem-solving attitude

Interested in this job?

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