At a Glance
- Tasks: Deploy and troubleshoot innovative software solutions in real-world environments.
- Company: Join CHAOS Industries, a cutting-edge defence tech company founded by veterans and innovators.
- Benefits: Enjoy free lunch, unlimited PTO, health benefits, and competitive salaries with stock options.
- Other info: Dynamic team environment with opportunities for travel and career growth.
- Why this job: Make a real impact in defence technology while working with AI and machine learning.
- Qualifications: Strong programming skills and a background in tech or engineering are essential.
The predicted salary is between 50000 - 70000 £ per year.
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.
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: 401k (+ 50% company match up to 6% of pay), FSA, HSA, 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.
Forward Deployed Engineer - Software in London employer: CHAOS Industries
Contact Detail:
CHAOS Industries Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer - Software in London
✨Tip Number 1
Get to know CHAOS Industries inside out! Research their products, values, and mission. This way, when you chat with them, you can show off your knowledge and passion for what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give us the inside scoop on job openings and company culture.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding machine learning concepts. Practice common interview questions and be ready to showcase your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at CHAOS Industries.
We think you need these skills to ace Forward Deployed Engineer - Software in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Forward Deployed Engineer role. Highlight your technical skills, especially in programming languages like Python and TypeScript, and any relevant experience in defence or similar fields.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about working at CHAOS Industries. Share specific examples of how your background aligns with our mission and how you can contribute to our innovative projects.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to tackle real-world challenges. Mention any experience with machine learning or AI solutions, and how you've applied these in practical scenarios to improve performance.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and shows us you're serious about joining our team at CHAOS Industries!
How to prepare for a job interview at CHAOS Industries
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and TypeScript/JavaScript. Be ready to discuss your experience with data structures, cloud infrastructure, and any machine learning projects you've worked on. This will show that you have the technical foundation they’re looking for.
✨Understand Their Mission
Dive deep into CHAOS Industries' products and their applications in defence. Familiarise yourself with how their technology empowers users in real-world scenarios. This knowledge will help you translate customer workflows into technical requirements during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've applied machine learning or AI solutions to tackle real-world problems. Highlight your ability to iterate and improve performance based on data analysis, as this aligns perfectly with the role's responsibilities.
✨Be Ready to Collaborate
Since the role involves working closely with core engineering teams, be prepared to talk about your experience collaborating with both technical and non-technical stakeholders. Share examples of how you’ve managed feedback and shaped product direction in past projects.