Lead Software Engineer at Circuitmind

Job Title

Lead Software Engineer

Salary

Not Disclosed

Company Description

Circuitmind.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.

Job Description

Join Circuitmind.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.

Location

London, UK

Why this role is remarkable

• 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.

What You Will Do

• 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.

The ideal candidate

• 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.

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