Field Software Engineer

CHAOS Industries; El Segundo (CA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Generous pre-IPO stock option grants

Unlimited PTO

Medical, dental and vision benefits fully paid by company

Job summary

CHAOS Industries is looking for an experienced engineer to join our Field Engineering Team focused on RF systems development and deployment. The role involves collaborating with core engineering teams, contributing to innovative designs enhancing national security applications, and troubleshooting products in the field.

The ideal candidate will have proven programming skills, especially in Python or TypeScript/JavaScript, and a strong technical foundation in relevant fields. Generous benefits include stock options, unlimited PTO, and health insurance.

Qualifications

• Proven programming skills with proficiency in Python or TypeScript/JavaScript.
• Qualification for U.S. security clearance.
• Strong foundation in relevant fields, ideally with some defence context experience.

Responsibilities

• Contribute to design, development, and deployment of RF capabilities.
• Troubleshoot CHAOS products in the field.
• Collaborate with engineering teams to shape product direction.

Skills

Programming in Python

TypeScript/JavaScript

Machine learning techniques

Command-line environment

Familiarity with Git and Linux

Education

Degree in Computer Science, Software Engineering, Data Science, Mathematics, Physics, Aerospace Engineering

Job description

Responsibilities

• 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
• 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

Benefits

• Generous pre-IPO stock option grants, relocation assistance + (coming soon!) annual bonuses
• Free daily lunch, ‘No meeting Fridays’, unlimited PTO (for exempt employees), casual dress code
• Life, FSA, HSA, 401k (+ Company match), and more
• Medical, dental and vision benefits will be 100% paid for by the company

Qualifications

• 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
• Strong technical foundation, ideally with a background in Computer Science, Software Engineering, Data Science, Mathematics, Physics, Aerospace Engineering, or a related field
• 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
• Comfortable working both autonomously and within teams that include both technical and non‑technical members
• Demonstrated ability to learn new concepts quickly and adapt in a fast‑paced, dynamic environment