Machine Learning Ph.D Student - Agentic AI
Core
Design, prototype, and ship agentic GenAI systems for chip design engineers to accelerate workflows.
Role type
Senior IC machine learning engineer (agentic AI)
Builds
Agentic systems with multi-agent coordination, long-horizon reasoning, and retrieval pipelines for chip design teams
Domain
Semiconductor / Chip Design / EDA
Deliverable
production ML models
Required skills
Python, PyTorch, agentic frameworks, tool use, data pipelines, evaluation design, prompt engineering, model selection, lightweight model adaptation
Preferred skills
stateful multi-turn agentic frameworks, complex execution flows, model adaptation (fine-tuning, distillation, preference optimization), publications at top-tier venues, chip design or EDA environment familiarity
Technologies
PyTorch, LLMs, agentic frameworks
Responsibilities
Design and build agentic systems featuring multi-agent coordination and planning frameworks; Develop end-to-end solutions including domain-specific agents and high-performance retrieval pipelines; Partner with subject-matter experts to translate workflows into agent assignments and guidelines; Build evaluation backbone with success measures, golden sets, and telemetry; Drive prompt engineering and model adaptation; Collaborate with software engineers to productionize work
Seniority
PhD level, hands-on IC
