Forward Deployed Engineer - Software at CHAOS Industries | GB | Rezi

Forward Deployed Engineer - Software at CHAOS Industries

Forward Deployed Engineer - Software

CHAOS Industries · GB

2 weeks ago

Forward Deployed Engineer - Software

CHAOS Industries · GB

16 days ago
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About the Role

Mission Engineers drive the successful deployment of CHAOS capabilities directly into the hands of users by designing and implementing new software, integrating and analyzing data from edge sensors, applying machine learning and AI solutions, and testing and refining products in customer environments. They provide vital feedback to shape product direction and ensure technology evolves 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 prioritize 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.
  • Apply and develop machine learning and AI solutions to applied problems, using analysis of sensor data to iterate and improve performance.
  • Travel to customer sites and offices in LA & Washington DC.

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.
  • 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.

Skills

  • Python
  • TypeScript/JavaScript
  • Machine Learning
  • AI
  • Data Structures
  • Storage Systems
  • Cloud Infrastructure
  • Front-end Frameworks
  • Git
  • SSH
  • Linux

Location

  • Los Angeles
  • Washington D.C.
  • San Francisco
  • London
  • Remote
  • Onsite

Work Type

  • Onsite
  • Full-time

Experience Level

  • At least one year of relevant work experience, especially in a defence context.

Education Level

  • Computer Science
  • Software Engineering
  • Data Science
  • Mathematics
  • Physics
  • Aerospace Engineering

Benefits

  • Medical, dental, and vision benefits 100% paid for by the company
  • 401k (+ 50% company match up to 6% of pay)
  • FSA
  • HSA
  • Life insurance
  • Free daily lunch
  • ‘No meeting Fridays’
  • Unlimited PTO
  • Casual dress code
  • Competitive base salaries
  • Generous pre-IPO stock option grants
  • Relocation assistance
  • Annual bonuses (coming soon!)

About the Company

  • CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today’s realities.
  • 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 delivers advanced sensing and detection solutions that give the ultimate advantage: time.
  • Founded in 2022, raised $1B in total funding from leading investors including 8VC, Accel, and NEA.
  • Headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, and London.