At a Glance
- Tasks: Test, deploy, and troubleshoot innovative software solutions in real-world environments.
- Company: CHAOS Inc., a cutting-edge tech company focused on defence and critical industries.
- Benefits: 100% paid health benefits, competitive salary, stock options, and relocation assistance.
- Why this job: Join a mission-driven team to solve real-world challenges with advanced technology.
- Qualifications: Background in tech fields and experience with machine learning or AI preferred.
- Other info: Dynamic work environment with opportunities for travel and career growth.
The predicted salary is between 36000 - 60000 Β£ per year.
Overview CHAOS Inc. is a global technology company delivering next-generation capabilities to the defense and critical industrial sectors. Founded in 2022 by a seasoned leadership team, CHAOS has quickly become the place where world-class multi-disciplinary engineers come to build mission-critical technologies. CHAOS has a mission-focused culture, dedicated to solving the toughest technical challenges. Its unique agile engineering approach enables rapid prototyping, while deep partnerships with defense and industry ensure real-world solutions.Role Overview With a deep understanding of our engineering, technology, and customers\β 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.Strong technical foundation, ideally with a background in Computer Science, Software Engineering, Data Science, Mathematics, Physics, Aerospace Engineering, or a related field.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 β 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: private medical, dental and vision benefits (for employees & dependents) will be 100% paid for by the companyCompensation Components: competitive base salaries, generous pre-IPO stock option grants, relocation assistance + (coming soon!) annual bonusesCompany Size: 130 employees and counting!More About Us: We\βre building the next generation of aerospace, defense and critical industry technologies with a seasoned team of mission-focused individuals. We were founded in June 2022 and our goal is to become the platform where world-class engineers come to solve critical, real-world problems. We use agile engineering approaches which enable rapid prototyping, deep partnerships with the defense industry ensuring real-world application, and our newly-invented Coherence platform (through which we\βve made a fundamental breakthrough) improves sensor performance and decision-making in real-time. As of April 2025 we have raised $490M (including a $275M Series C at a $2B valuation) from some of the most prominent VC funds and investors including Accel, NEA, 8VC, and Valar. With a managing team that includes Epirus\β founding members (responsible for building a $1.5B company from scratch) + key drivers from Palantir (instrumental in Palantir\βs growth to $1B in revenue), we are well-positioned to become one of the fastest growing companies to date!
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Forward Deployed Engineer - Software employer: Chaos, Inc.
Contact Detail:
Chaos, Inc. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Forward Deployed Engineer - Software
β¨Tip Number 1
Network like a pro! Reach out to current or former employees at CHAOS Inc. on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
β¨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those related to machine learning or software engineering. This will help you stand out during interviews.
β¨Tip Number 3
Be ready to discuss real-world applications of your work. CHAOS values mission-focused solutions, so think about how your past experiences align with their goals and be prepared to share specific examples.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows youβre genuinely interested in being part of the CHAOS team.
We think you need these skills to ace Forward Deployed Engineer - Software
Some tips for your application π«‘
Tailor Your Application: Make sure to customise your CV and cover letter for the Forward Deployed Engineer role. Highlight your relevant experience in software engineering, machine learning, or any defence-related projects. We want to see how your skills align with our mission-focused culture!
Showcase Your Technical Skills: Donβt hold back on showcasing your technical prowess! Mention your familiarity with data structures, cloud infrastructure, and any command-line tools youβve used. Weβre looking for engineers who can bridge the gap between technology and real-world applications.
Demonstrate Problem-Solving Abilities: In your application, share examples of how you've tackled complex problems in past roles. Whether itβs through deploying software or integrating data from sensors, we love to see how you approach challenges and deliver solutions that matter.
Apply Through Our Website: We encourage you to apply directly through our website! Itβs the best way to ensure your application gets into the right hands. Plus, youβll find all the details about the role and our company culture there!
How to prepare for a job interview at Chaos, Inc.
β¨Know Your Tech Inside Out
Make sure you have a solid grasp of the technical concepts mentioned in the job description, like data structures and cloud infrastructure. Brush up on your command-line skills and tools like Git and Linux, as these will likely come up during the interview.
β¨Understand the Mission
CHAOS is all about solving real-world challenges. Familiarise yourself with their mission and how your role as a Forward Deployed Engineer fits into it. Be ready to discuss how you can contribute to their agile engineering approach and what unique insights you bring to the table.
β¨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've applied machine learning or AI solutions to tackle real problems. Highlight your ability to learn quickly and adapt, especially in fast-paced environments, as this is crucial for the role.
β¨Be Ready to Collaborate
Since the role involves working closely with both technical and non-technical teams, think of instances where you've successfully collaborated in diverse groups. Emphasise your communication skills and how you can bridge the gap between technical insights and user experience.