Applied Machine Learning Engineer, Circuit Design - New College Grad 2026
NVIDIA is a leader in visual and AI computing, known for its pioneering work in GPU technology. They are seeking an Applied Machine Learning Engineer focused on circuit design to work on projects involving custom circuit design, data analysis, and model optimization.
Responsibilities
- Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout 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
- In charge for testing 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
Skills
- MS or PhD in Electrical/Computer Engineering (or equivalent experience)
- Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA
- Shown ability in writing code in Python and C++
- Experience in Applied Math/ML/Software programming
- Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark
- Working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
- Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance
- Effective verbal/written communication, and technical presentation skills
- Proven continuous learning and sharing findings across the team
Benefits
- Equity
- Benefits
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