About Quilter

At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.

No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:

1. Curiosity
2. Conviction
3. Rigor

We’re looking for a Senior Software Engineer to own substantial improvements to Quilter’s CAD integrations. Our File I/O team connects Quilter with tools including Altium, KiCad, Cadence Allegro, and Siemens Xpedition. Your work will let customers bring more of their designs into Quilter and use the results in their existing CAD workflows.

Working primarily in Python, you’ll take integration features from investigation through production, building the parsers, exporters, and shared design models they need. You’ll collaborate with teams across Quilter and help shape our integration architecture and engineering practices.

You’ll help shape how we use LLMs and agentic workflows to solve integration problems—from operating CAD tools and generating controlled test designs to investigating undocumented formats. You’ll have room to experiment with models, tools, and orchestration, and turn promising approaches into reliable systems the team can use.

What You’ll Do

• Lead integration design and delivery. Extend Python parsers and exporters, support richer design information, and maintain compatibility with supported CAD tools. Make architectural tradeoffs independently and mentor teammates through reviews and difficult investigations.
• Reverse-engineer proprietary formats. Combine native CAD tools, APIs, and controlled experiments with LLM-driven investigation workflows to understand binary and text-based formats and how they represent engineering intent.
• Evolve shared models. Partner with other teams on shared representations of boards, schematics, and design constraints, preserving the information downstream systems need.
• Make correctness testable. Build fixtures, semantic checks, round-trip tests, and native-tool validation that catch lost information and invalid output and provide reliable signals for automated evaluation.