Lead Software Engineer at Circuitmind

Job Title

Lead Software Engineer

Not Disclosed

Circuit mind.io is a London-based VC-backed deep-tech startup building an AI-powered software engine to automate the manual and tedious process of electronic circuit board design.

Join Circuit mind.io to revolutionize electronic design automation. As a Lead Software Engineer, you will build an entirely new engine that transforms board requirements into manufacture-ready designs. This hands-on role involves tackling unsolved technical challenges across the backend, from complex data models and algorithms to high-performance data pipelines and machine learning models.

London, UK

• Work at the frontier of hardware and software by building a first-of-its-kind platform that automates one of engineering’s most manual and critical bottlenecks.
• Join a VC-backed deep-tech startup with a strong runway, solving high-impact problems for industries ranging from space travel and medical robotics to autonomous transportation.
• Enjoy exceptional flexibility with a "work from anywhere" policy for five weeks a year, a hybrid office in London Bridge, and meaningful equity ownership.

• Plan, design, and iterate on complex software solutions for electronic design automation, working across the entire backend including data models, algorithms, and APIs.
• Collaborate closely with in-house hardware engineers and product teams to translate complex engineering constraints into elegant, high-quality software architectures using Python and Django.
• Drive engineering excellence by co-designing and peer-reviewing work with other lead developers, ensuring the codebase remains robust as you scale the engine’s capabilities.

• Possesses at least 5 years of professional software development experience, including 2+ years of deep expertise in Python and 2+ years in senior roles.
• Demonstrates a proven track record of building complex systems beyond standard web applications, such as data pipelines, scientific computing, or algorithmic software.
• Thrives in agile environments and communicates effectively while solving ambiguous technical problems that bridge the gap between software engineering and physical hardware.