Senior Design Automation Engineer

Flexcompute is building the infrastructure for physics intelligence. Our mission is to make hardware innovation just as easy as software by providing high-fidelity physics simulation built with modern technology from the ground up. Trusted by more than 250 companies and academic institutions, our GPU-accelerated solvers power design workflows across photonics, electromagnetics, thermal, fluid dynamics, and acoustics.

About the Role

We're looking for a Senior Design Automation Engineer to join the PhotonForge team. This role sits at a unique intersection of physics and applications, software engineering, and AI. You'll work across all three to extend our end-to-end platform for photonic integrated circuit (PIC) design.

PhotonForge unifies component simulation, circuit simulation, compact modeling, layout generation, PDK integration, and foundry handoff into a single platform backed by Flexcompute's GPU-accelerated Tidy3D multi-physics solvers. You'll build EDA tool integrations, develop physics-driven application workflows, and leverage AI to make photonic design faster and more accessible.

This is a remote position. Preference may be given to candidates based in the Boston area who are open to in-person or hybrid work.

What You'll Do

• Build Interfaces & Connectors to EDA Tools • Develop and maintain integrations between PhotonForge and industry-standard EDA tools for layout, DRC, LVS, and schematic-driven design. • Enable seamless round-trip workflows between EDA environments, PhotonForge, and Tidy3D simulation. • Build Python-based APIs and automation scripts that connect PhotonForge to existing toolchains.

• Drive Physics & Application Workflows • Work with end users on real-world design challenges in quantum photonics, RF photonics, co-packaged optics, or silicon photonics. • Develop application workflows and reference designs across component simulation, circuit simulation, compact modeling, and layout. • Leverage Flexcompute's GPU-accelerated Tidy3D multi-physics solvers (tackling optical, RF, charge, and thermal physics) to build fabrication-aware simulation pipelines.