Applied Machine Learning Engineer - VLSI Design

NVIDIA • Santa Clara, CA

7d • Hybrid

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you'll be doing: Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlation Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc. Responsible for translating the requirements into a data science problem, architect and build solutions. Test and release of models that integrate with existing machine learning and visualization tools within the organization. Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them. Optimize the models and algorithms until they reach the desired QOR.

Requirements

• MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics (or equivalent experience)
• 5+ years experience in circuit design, VLSI, ASIC, EDA, Silicon analysis is required
• Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python, C++
• Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a definite plus

Nice To Haves

• Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
• Effective verbal/written communication, and technical presentation skills
• Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Responsibilities

• Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlation
• Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.
• Responsible for translating the requirements into a data science problem, architect and build solutions.
• Test and release of models that integrate with existing machine learning and visualization tools within the organization.
• Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.
• Optimize the models and algorithms until they reach the desired QOR.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees