Applied Machine Learning Engineer - VLSI Design

$128,000 - $258,750/Yr

Nvidia - Santa Clara, CA

Full-time - Mid Level

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The position involves working within a multi-functional team on various projects related to Pre-silicon and Post Silicon hardware design, circuit optimization, and data analysis. The role focuses on translating requirements into data science problems, building solutions, and optimizing models and algorithms to achieve desired quality of results (QOR).

Responsibilities

• Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data.
• Conduct circuit optimization and Spice correlation.
• Analyze silicon data and manufacturing process variations.
• Translate requirements into data science problems and architect solutions.
• Test and release models that integrate with existing machine learning and visualization tools.
• Analyze datasets, validate hypotheses, extract relevant features, and build models.
• Optimize 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, and silicon analysis.
• Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++.
• Experience with ML/DL algorithms and frameworks such as TensorFlow, PyTorch, and Spark.

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 a passion for growth and continuous learning.

Benefits

• Equity options
• Comprehensive health insurance
• Retirement savings plan
• Paid time off
• Flexible work hours
• Professional development opportunities