Lead Software Engineer β€” AI-Driven EDA Engine (Hybrid) in London

Lead Software Engineer β€” AI-Driven EDA Engine (Hybrid) in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of an AI-driven engine for manufacturing-ready designs.
  • Company: Join a cutting-edge deep-tech startup in London with VC backing.
  • Benefits: Enjoy flexible hybrid work, equity options, and five weeks remote.
  • Other info: Be part of a dynamic team with exciting growth opportunities.
  • Why this job: Shape the future of tech while collaborating with talented engineers and product teams.
  • Qualifications: Proven experience in software engineering, particularly with Python and Django.

The predicted salary is between 60000 - 80000 Β£ per year.

Circuitmind. io, a London-based VC-backed deep-tech startup, is seeking a Lead Software Engineer to build an entirely new engine that converts board requirements into manufacture-ready designs.

You will work hands-on across the backend with Python and Django, shaping data models, algorithms, and high-performance pipelines, collaborating with hardware engineers and product teams.

The role offers flexible hybrid work with five weeks remote, equity, and a London Bridge office.

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Lead Software Engineer β€” AI-Driven EDA Engine (Hybrid) in London employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Lead Software Engineer β€” AI-Driven EDA Engine (Hybrid) in London

Python
Django
Backend Development
Data Modelling
Algorithm Design
High-Performance Pipelines
Collaboration with Hardware Engineers