- Location
- London, England, United Kingdom
- Department
- Engineering
- Source
- Greenhouse
Description
CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today’s realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries’ products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.
CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, and London. For more information, please visit www.chaosinc.com.
Role Overview
With a deep understanding of our engineering, technology, and customers’ missions, Mission Engineers drive the successful deployment of CHAOS capabilities directly into the hands of users. Mission Engineers design and implement new software from the ground up, integrate and analyse data from our edge sensors, apply and develop machine learning and AI solutions to real-world challenges, and test and refine CHAOS products in customer environments. Throughout, Mission Engineers deliver vital feedback to help shape product direction and ensure our technology evolves in lockstep with real-world mission needs.
Responsibilities
- Test, deploy, and troubleshoot CHAOS products in the field.
- Understand customer workflows and translate them into clear product and technical requirements.
- Collaborate with core engineering teams to prioritise feedback, shape product direction, and drive delivery.
- As an early engineer on a growing team, design and build new software products that bridge the gap between CHAOS capabilities and customer mission needs.
- Integrate data from CHAOS edge sensors into customer systems.
- Apply and develop machine learning and AI solutions to applied problems, using analysis of sensor data to iterate and improve performance.
- Travel (typically up to 25%, with flexibility for higher travel periods when needed) to customer sites and our offices in LA & Washington DC.
Minimum Requirements
- Strong technical foundation, ideally with a background in Computer Science, Software Engineering, Data Science, Mathematics, Physics, Aerospace Engineering, or a related field.
- Proven programming skills, with proficiency in languages such as Python, TypeScript/JavaScript, or similar technologies.
- Ability and interest to travel (typically up to 25%, with flexibility for higher travel periods when needed) to customer sites and our offices in LA & Washington DC.
Preferred Requirements
- At least one year of relevant work experience, especially in a defence context.
- Familiarity with core technical concepts – such as data structures, storage systems, cloud infrastructure, and modern front-end frameworks.
- Confidence working in a command-line environment, with familiarity using tools like Git, SSH, and Linux-based systems.
- Experience applying machine learning or AI techniques to real-world or customer-facing problems.
- Thoughtful about how technical choices shape user experience, and comfortable managing internal and external stakeholders with a mix of technical insight and common sense.
- Demonstrated ability to learn new concepts quickly and adapt in a fast-paced, dynamic environment.
- Comfortable working both autonomously and within teams that include both technical and non-technical members.
- Existing UK security clearance, or eligibility to obtain it.
Why CHAOS?
- Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
- Additional benefits: 5% pension match, life insurance, Cycle to Work Scheme, and more
- Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
- Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
- Team Growth: 200 employees and counting across 5 global offices
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