Senior/Staff Software Engineer, CAD Integrations
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Key details
- Location
- United States
- Work style
- Remote
- Level
- Lead / Staff+
- Job type
- Full-time
- Function
- Software engineering
- Focus area
- other
- Posted
- Yesterday
Skills
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Staff Software Engineer, CAD Integrations based in the United States.
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.
Accountabilities
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Lead CAD integration development: Design, develop, and maintain Python-based parsers and exporters that connect PCB design workflows with tools such as Altium, KiCad, Cadence Allegro, and Siemens Xpedition.
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Drive integration architecture: Make technical decisions, improve integration frameworks, and mentor other engineers through code reviews, complex investigations, and implementation challenges.
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Reverse-engineer file formats: Investigate proprietary binary and text-based formats using native CAD applications, APIs, controlled experiments, and AI-assisted investigation techniques.
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Develop shared data models: Collaborate with engineering teams to create and improve representations of circuit boards, schematics, and design constraints while preserving critical engineering information.
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Strengthen testing and validation: Build test fixtures, semantic checks, round-trip tests, regression suites, and native-tool validation processes to ensure data integrity and reliable outputs.
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Develop AI-powered workflows: Build agentic tools and workflows that connect language models with CAD automation and inspection capabilities, using evaluation frameworks to improve accuracy, efficiency, and cost.
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Own production delivery: Manage integration improvements from initial investigation and technical design through implementation, testing, deployment, and continuous improvement.
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Improve engineering reliability: Analyze production issues, enhance diagnostics, document technical findings, and develop regression coverage to prevent recurring problems.
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Significant professional experience developing and maintaining production-quality Python applications and complex codebases.
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Strong background in solving challenging software integration, systems engineering, or data-representation problems, particularly in environments with unfamiliar code or incomplete documentation.
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Ability to investigate complex technical issues, formulate hypotheses, conduct experiments, and independently identify effective solutions.
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Solid understanding of software architecture, data modeling, interfaces, testing strategies, and engineering best practices.
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Practical experience using LLMs and agentic workflows, including tool integration, model evaluation, and iterative workflow improvement.
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Ability to communicate technical concepts clearly, document investigations, and coordinate projects involving multiple engineering teams.
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Strong ownership, problem-solving abilities, and the ability to work independently in a distributed engineering environment.
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Familiarity with PCB design, electrical engineering, or Electronic Design Automation (EDA) tools is an advantage.
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Experience with parsers, compilers, serialization, binary formats, geometry, or complex domain models is highly desirable.