Software Engineer - Deep Tech Scale-Up - Meaningful Equity
Location: London
Role: Hiring multiple levels - junior to Lead SWE across back-end, front-end and full-stack
Salary: Up to £160k base + equity (depends on which role/seniority)
Company: A well-funded, fast-growing deep tech company building the foundational software and AI to power the autonomous age.
The mission: revolutionise how organisations collaborate with sensors, robots and autonomous systems, and use the data they generate. This is a company driven by a belief that a small, elite group of engineers can make an outsized difference, and it's built for the long term.
This is a chance to join at a pivotal moment, working alongside exceptional engineers on high-impact, technically challenging problems, with genuine ownership and autonomy from day one.
About the role
You'll drive development of software that lets autonomous systems collaborate, process large sensor datasets, and present complex information through intuitive interfaces for tasking and control of multiple assets. Your code will directly support mission-critical operations, and you'll iterate closely with end users.
Responsibilities:
- Design, build and test core software platforms and interfaces
- Iterate with customers and users to implement their requirements
- Interface with and test autonomous and robotic systems in the field
- Collaborate with engineers across AI/ML, networking and robotics
- Help drive a culture of excellence across engineering
Experience required
Open to all levels, from new grads to senior engineers ready to lead a team or operate as a high-value IC. Looking for strength anywhere across the stack.
You should have:
- A degree in Computer Science, Engineering or a related field (or equivalent experience)
- Strong core skills in server-side languages (C++, Java, Rust, Python) or frontend (TypeScript/JavaScript with Angular or React)
- Genuine enthusiasm for a diverse tech stack
Nice to have:
- Embedded/resource-constrained device experience
- Docker and Kubernetes
- SQL databases (e.g. PostgreSQL)
- Machine learning applications
- Frontend mapping frameworks (Cesium, Mapbox, Leaflet)
- Secure coding practice (OWASP Top 10)