
11 - 50 employees
🚘 Automotive
🏭 Manufacturing
💰 $22M Series B on 2021-11
Automotive • Manufacturing • Software
Flexcompute is a company focused on accelerating innovation through advanced computing and groundbreaking simulation technology. They offer Flow360, a comprehensive solution for Computational Fluid Dynamics (CFD), and Tidy3D, an Electromagnetic (EM) solver, emphasizing physics-based simulation software. Flexcompute aims to assist industries in optimizing design processes and achieving real-time computational capabilities. Their offerings include educational resources, documentation, and support for Python-based applications, making them a key player in the simulation and computational software space.
🔥 15 hours ago
Where this job comes from
Posted on Flexcompute's careers page ↗, not through a job board
First seen by Remote Rocketship 15 hours ago
Still open on Flexcompute's site. Checked 13 hours ago.

11 - 50 employees
🚘 Automotive
🏭 Manufacturing
💰 $22M Series B on 2021-11
Automotive • Manufacturing • Software
Flexcompute is a company focused on accelerating innovation through advanced computing and groundbreaking simulation technology. They offer Flow360, a comprehensive solution for Computational Fluid Dynamics (CFD), and Tidy3D, an Electromagnetic (EM) solver, emphasizing physics-based simulation software. Flexcompute aims to assist industries in optimizing design processes and achieving real-time computational capabilities. Their offerings include educational resources, documentation, and support for Python-based applications, making them a key player in the simulation and computational software space.
• Develop and maintain integrations between PhotonForge and EDA tools for layout, DRC, LVS, and schematic-driven design. • Enable round-trip workflows between EDA environments, PhotonForge, and Tidy3D simulation. • Build Python APIs and automation scripts connecting PhotonForge to GDSII, OASIS, Touchstone S-parameters, SPICE netlists, and Verilog-A toolchains. • Read, debug, and extend C++ components where integrations touch the core platform. • Build agentic tools and automation for layout, simulation, and verification. • Prototype and ship AI-powered features in PhotonForge and related developer experiences. • Work with end users on design challenges in quantum photonics, RF photonics, co-packaged optics, or silicon photonics. • Develop application workflows and reference designs spanning component simulation, circuit simulation, compact modeling, and layout. • Use GPU-accelerated Tidy3D multi-physics solvers to build fabrication-aware simulation pipelines.
• Production-quality Python development experience. • Comfortable reading, debugging, and contributing to C++ codebases. • Hands-on experience with EDA and PIC flows. • Experience with industry-standard EDA platforms such as Cadence Virtuoso, Siemens Calibre, or KLayout. • Understanding of GDSII and OASIS, DRC, LVS, PDKs, schematic-driven design, and compact models such as Verilog-A. • Degree in electrical engineering, applied physics, photonics, or a related field; MS or PhD preferred. • Working knowledge of Maxwell's equations, waveguide theory, and semiconductor device physics. • Active use of AI tools and motivation to build agentic automation into engineering products. • Experience training or fine-tuning ML/AI models is nice to have. • Domain expertise in quantum photonics, RF/microwave photonics, co-packaged optics, or optical interconnects for AI datacenters is nice to have. • Experience building connectors or plugins for EDA platforms is nice to have. • Background in compact model generation, S-parameter extraction, or circuit-level photonic simulation is nice to have. • Experience with agentic AI frameworks, LLM-based automation tools, or AI product development is nice to have. • Contributions to open-source photonics or EDA tooling are nice to have.
• Competitive compensation. • Full remote flexibility. • Friendly, thoughtful, and intelligent coworkers. • A front-row seat at the intersection of AI and photonics, two of the fastest-moving fields in tech. • The chance to shape how an entire generation of engineers learns to work with AI-driven simulation. • A collaborative, technically deep team that values curiosity and initiative.
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