Field Engineer for RF Systems Development and Customer Delivery

CHAOS Industries United State
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AI Summary

Join CHAOS Industries as a Field Engineer to develop and deliver cutting-edge RF systems. Contribute to the design, development, and deployment of innovative RF capabilities. Collaborate with customers to understand their workflows and translate them into clear product and technical requirements.

Key Highlights
Develop and deliver cutting-edge RF systems
Contribute to the design, development, and deployment of innovative RF capabilities
Collaborate with customers to understand their workflows and translate them into clear product and technical requirements
Key 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
Technical Skills Required
Python TypeScript/JavaScript Git SSH Linux-based systems Machine learning AI
Benefits & Perks
Health 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
Nice to Have
Experience applying machine learning or AI techniques to real-world or customer-facing problems
Thoughtful about how technical choices shape user experience

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 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 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 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.
  • 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 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.

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, 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: 250 employees and counting across 5 global offices

Salary Range: $140,000 - $240,000

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.


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