Forward Deployed Engineer - Software
AI summary of the role
Test, deploy, and troubleshoot CHAOS products in the field.
What you’ll do
- 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.
- 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 and apply ML/AI solutions to improve performance.
What you’ll bring
- Strong technical foundation in Computer Science, Software Engineering, Data Science, Mathematics, Physics, Aerospace Engineering, or related field.
- Proven programming skills in Python, TypeScript/JavaScript, or similar technologies.
- Existing or qualification for a United States security clearance.
Technologies
Python · TypeScript · JavaScript · Git · SSH · Linux · RF systems · machine learning · AI · sensor data
About CHAOS Industries
Builds distributed radar and timing networks that help military, border, and air-operations users detect, track, and respond to drones and missile threats faster.
Series D
Source and classification
Production engineering · Evidence for this classification:
and customers' missions, this individual will help develop and implement our products with customers. This position offers an exciting opportunity to contribute to the design, development, and deployment of innovative RF capabilities, with a focus on enhancing systems, sensors, and platforms for national security applications including UAS (Unmanned Aerial Systems) surveillance systems and integrated air and missile defense. Ability to solve complex technical problems and contribute to rapid prototyping efforts is expected. 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
More from the job description
CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's 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. CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit www.chaosinc.com. Role Overview: The Field Engineering Team is seeking an experienced engineer to join our team in the development and customer delivery of cutting-edge RF systems. With a deep understanding of our engineering, technology, and customers' missions, this individual will help develop and implement our products with customers. This position offers an exciting opportunity to contribute to the design, development, and deployment of innovative RF capabilities, with a focus on enhancing systems, sensors, and platforms for national security applications including UAS (Unmanned Aerial Systems) surveillance systems and integrated air and missile defense. Ability to solve complex technical problems and contribute to rapid pro [... source excerpt omitted ...] rts is expected. 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%, [... source excerpt omitted ...] ills, with proficiency in languages such as Python, TypeScript/JavaScript, or similar technologies. An existing or qualification for a United States security clearance 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 experie
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