AI Sr. Principal Engineer
Core
Building foundational AI systems at the intersection of machine learning and hardware engineering to automate analog/mixed-signal IC design and optimize physical systems.
Role type
Sr. Principal Engineer (AI/ML for Hardware Design)
Builds
Learning and optimization systems for design space search, fast learned models replacing physical simulation, and agentic tooling for engineering automation.
Domain
Semiconductor industry + Analog/Mixed-Signal IC design + Applied Mathematics/Optimization
Deliverable
production ML models
Required skills
Machine learning, large-scale systems, applied mathematics/optimization, analog/mixed-signal design, Python, PyTorch, sparse linear algebra, graph theory, convex/non-convex optimization, distributed systems
Preferred skills
Compilers, intermediate representations, scientific/physics-informed ML, model compression/quantization
Technologies
Python, PyTorch
Responsibilities
Teaching machines to represent structured engineering artifacts (graphs, netlists, layouts), building learning systems that search design spaces, designing data/modeling/compute backbones, creating fast learned models for physical simulation, building agentic tooling layers.
Seniority
Sr. Principal, hands-on IC with strategy & mentorship
