Senior/Staff Software Engineer, CAD Integrations

In this role, you will lead the development and evolution of software integrations that connect advanced PCB design automation technology with industry-leading Computer-Aided Design (CAD) tools. You will work primarily with Python to build robust parsers, exporters, and shared data models that preserve complex engineering information across different platforms. You will tackle challenging technical problems involving proprietary file formats, reverse engineering, and software interoperability. You will also explore innovative applications of AI, large language models (LLMs), and agentic workflows to improve integration development and testing. Working closely with multidisciplinary engineering teams, you will influence architectural decisions and establish reliable engineering practices. This is an opportunity to make a significant technical impact in a fast-moving, remote-first environment.

• Significant professional experience developing and maintaining production-quality Python applications and complex codebases.

• Strong background in solving challenging software integration, systems engineering, or data-representation problems, particularly in environments with unfamiliar code or incomplete documentation.

• Ability to investigate complex technical issues, formulate hypotheses, conduct experiments, and independently identify effective solutions.

• Solid understanding of software architecture, data modeling, interfaces, testing strategies, and engineering best practices.

• Practical experience using LLMs and agentic workflows, including tool integration, model evaluation, and iterative workflow improvement.

• Ability to communicate technical concepts clearly, document investigations, and coordinate projects involving multiple engineering teams.

• Strong ownership, problem-solving abilities, and the ability to work independently in a distributed engineering environment.

• Familiarity with PCB design, electrical engineering, or Electronic Design Automation (EDA) tools is an advantage.

• Experience with parsers, compilers, serialization, binary formats, geometry, or complex domain models is highly desirable.

• Knowledge of desktop application automation, vendor SDKs, or native libraries in C, C++, or Rust is a plus.

• Experience developing regression datasets, differential testing, fuzzing tools, agent frameworks, or evaluation systems is beneficial.