Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

NVIDIA is looking for an Applied Machine Learning Engineer focused on circuit design. You will work on custom circuit design, data analysis, and model optimization. Ideal candidates have an MS/PhD in Electrical/Computer Engineering and experience with VLSI, Python, C++, and ML frameworks.

• Work within a multi-functional team on Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation.
• Translate requirements into data science problems, architect and build solutions.
• Test and release models that integrate with existing ML and visualization tools.
• Analyze datasets, raise and validate hypotheses, extract features, and build models.
• Optimize models and algorithms to achieve desired QOR.

• MS or PhD in Electrical/Computer Engineering (or equivalent experience).
• Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA.
• Proven ability to write code in Python and C++.
• Experience in Applied Math/ML/Software programming.
• Experience with ML/DL algorithms and frameworks such as TensorFlow, PyTorch, Spark.
• Effective verbal/written communication and technical presentation skills.