Senior Applied Machine Learning Engineer, VLSI Design

What you'll do

• Work on projects involving pre-silicon and post-silicon hardware design data and circuit optimization.
• Translate requirements into data science, AI/ML, and agentic system problems to architect and build solutions.
• Test and release models and AI systems that integrate with existing design automation and visualization tools.
• Analyze datasets to raise hypotheses, extract features, and build models and self-improving workflows.
• Optimize models, algorithms, and autonomous optimization systems to reach desired Quality of Results (QOR).
• Perform silicon data analysis, manufacturing process variation analysis, and VLSI circuit design.
• Develop agent-driven design exploration and agent flow optimization systems.

What we're looking for

• MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or equivalent experience.
• 4+ years experience in circuit design, VLSI, ASIC, EDA, silicon analysis, or custom circuit design.
• Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++.
• Experience with deep learning algorithms, AI agent frameworks, and tools such as PyTorch, LangChain, or LangGraph (preferred).
• Experience building AI systems for EDA, design automation, or circuit design workflows (preferred).
• Research or project experience in AI-driven EDA, circuit optimization, design-space exploration, or autonomous design systems (preferred).
• Experience building agentic systems, autonomous optimization loops, self-improving AI systems, or production-scale AI/ML platforms (preferred).
• Effective verbal/written communication and technical presentation skills (preferred).