Job Description
Entry-level applied ML role bringing machine learning to custom circuit design and silicon data analysis. Work on pre- and post-silicon custom circuit/layout optimization, process variation analysis, and VLSI timing, translating these problems into ML tasks and integrating models into internal tools.
Responsibilities
- Collaborate on projects involving pre- and post-silicon custom circuit design and layout optimization
- Translate circuit and layout requirements into data science and ML problems and architect solutions
- Develop, test, and release ML models that integrate with NVIDIA’s internal ML and visualization tools
- Analyze large silicon and manufacturing datasets, generate hypotheses, extract features, and build models
- Optimize algorithms and models to reach desired quality-of-results (QOR)
Benefits
Base salary range: $108,000–$184,000 (Level 2) and $136,000–$212,750 (Level 3), depending on location and experienceEligibility for equity (RSUs) and full NVIDIA benefits packageWork with cutting-edge GPU and AI hardware/software teams
Category
Machine Learning Engineer
Posted
11/10/2025