Founding Staff AI Engineer — Physics AI, Agentic Systems & Full-Stack

Elucida Labs is building an autonomous AI scientist for semiconductor manufacturing. The Founding Staff AI Engineer will own technical architecture across scientific machine learning, autonomous agentic systems, full-stack software, and customer deployments, helping semiconductor customers accelerate process development.

Responsibilities:

• Design and implement Physics-Informed Neural Networks (PINNs), neural operators (FNOs, DeepONets), and surrogate models to simulate plasma dynamics, chemical kinetics, thermal budgets, and material interfaces
• Build active learning and Bayesian optimization pipelines to recommend optimal recipe parameters (gas flow, RF power, pressure, temperature profiles) under sparse, high-cost experimental constraints
• Ingest and featurize complex, multimodal semiconductor fab telemetry: optical emission spectroscopy (OES), residual gas analysis (RGA), in-situ metrology, and wafer-level morphology data
• Develop robust, deterministic multi-agent systems that autonomously decompose complex engineering goals into actionable experimental design, data querying, and simulation workflows
• Build tool-use capabilities and MCP (Model Context Protocol) servers allowing agents to execute scientific code, run numerical solvers, and synthesize technical papers/patents
• Implement structured reasoning, guardrails, state-machine verifiers, and memory stores to ensure agent outputs meet rigorous physical plausibility and safety criteria
• Architect, build, and maintain our end-to-end software platform: high-performance backend microservices (Python/FastAPI/AsyncIO), database layers, and intuitive engineering dashboards (TypeScript/React/Next.js)
• Leverage agentic coding tools (such as Claude Code CLI and modern agent environments) to autonomously write test suites, refactor codebases, automate CI/CD tasks, and maximize raw development output
• Construct robust ETL pipelines and secure data connectors capable of ingesting high-frequency equipment time-series and legacy SECS/GEM or flat-file fab logs
• Own technical deployment and integration during pilot programs with equipment OEMs and cleanroom customer sites
• Work shoulder-to-shoulder with customer process engineers, CTOs, and fab managers to translate complex domain challenges into working product capabilities
• Deploy air-gapped or hybrid on-prem/VPC customer instances ensuring enterprise-grade data isolation, encryption, and zero-data-leakage compliance