Nvidia
Applied Machine Learning Engineer - VLSI Design
Found: February 1, 2026
This role is based in Santa Clara, CA.
Compensation:
$136,000 - $264,500/year
Responsibilities:
- Collaborate on Pre-silicon and Post Silicon hardware design projects.
- Analyze silicon data and manufacturing process variations.
- Translate requirements into data science problems and build solutions.
- Test and release models integrating with existing ML tools.
- Optimize models and algorithms for desired quality of results (QOR).
Requirements:
- MS/PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics.
- 5+ years experience in circuit design, VLSI, ASIC, EDA, and silicon analysis.
- Proficiency in Python and C++ programming.
- Experience with ML/DL algorithms and frameworks like TensorFlow and PyTorch is a plus.