Radar Systems Engineer

Chaos Industries; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private medical

Dental & vision

5% pension match

Cycle to Work

Free daily lunch

No meeting Fridays

Unlimited PTO

Relocation assistance

Annual bonuses

Job summary

Chaos Industries is seeking a systems engineer to support radar deployments across Europe and the Middle East, based in London with travel to field sites. You will own how the radars perform in the real world, calibrate modes, and turn field data into actionable product improvements.

The role requires hands-on radar experience, Python fluency, and willingness to travel. You will collaborate with the Mission Team, develop diagnostics and tooling, and contribute to requirements across the V-model.

Qualifications

• Hands-on radar systems experience with RF and waveform concepts.
• Fluent in Python and scripting for data analysis.
• Eligible for UK security clearance and right to work in the UK.

Responsibilities

• Own radar performance for field deployments and diagnose RF and tracking problems.
• Calibrate, configure, and tune radar modes for various environments.
• Characterise detection, tracking, and false-alarm performance against truth data.
• Plan and lead field test campaigns and data collections; analyze results for product improvements.
• Build tooling, diagnostics, and playbooks enabling field deployment using AI tools.
• Contribute to system requirements, specifications, and acceptance criteria.

Skills

Python

RF systems

Radar principles

Field deployments

Tools

AI coding tools

Diagnostics tooling

Job description

You'll join the systems engineering team working across London and Los Angeles, in support of deployments of our radars across Europe and the Middle East. Our Mission team deploys and operates the systems on customer sites; you own how they perform. You'll build deep expertise in how our radars behave in the real world, and turn data from live deployments and field testing into tuning, calibration, and product improvements. What You'll Do:

• Deployed Performance - own radar performance for systems in the field. Diagnose RF, detection, and tracking problems on live deployments, and turn what you find into concrete fixes.
• Tuning & Calibration - calibrate, configure, and tune radar modes for the environments we operate in, and become the expert on how our products behave in the real world.
• Performance Analysis - characterise detection, tracking, and false-alarm performance against truth data. Quantify what the system does and find where it falls short.
• Field Testing - plan and lead test campaigns and data collections, then analyse the results and turn the findings into product improvements.
• Tooling & Enablement - build the tooling, diagnostics, and playbooks that let Mission team engineers independently deploy, tune, and troubleshoot in the field, using AI coding tools to build and ship faster than a team your size otherwise could.
• Systems Engineering - contribute to requirements, specifications, and acceptance criteria across both sides of the V, grounded in what you've seen deployed. We're looking for engineers with real depth in radar who are excited by hard technical problems and systems that matter. You don't need every specialism listed below - we value strong fundamentals, curiosity, and the ability to learn quickly., Have several years of hands‑on radar systems experience, with a deep understanding of radar principles and modes.
• Understand the signal processing chain well enough to reason about it end to end - waveform design, matched filtering, Doppler processing, detection, and clutter rejection.
• Have hands‑on experience calibrating RF systems and measuring their performance.
• Enjoy digging into radar data to work out why a system behaves the way it does.
• Are fluent in Python.
• Are AI‑native - you reach for coding agents and AI tools by default, get real leverage from them, and have a considered view on what to delegate to them and what not to.
• Bring systems engineering experience with RF systems, across both sides of the V.
• Are comfortable working in the field, on customer sites, and under operational pressure.
• Communicate well with people outside your own discipline, technical or not.

Requirements

• Right to work in the UK.
• Willingness to travel. You'll be based in our Soho office in London.
• Expect to travel around 25% of the time, in blocks around deployments and test campaigns across Europe and the Middle East, plus time co‑locating with the systems engineering team in Los Angeles.
• Eligible for UK security clearance.

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.

Why CHAOS?

• Health Benefits: private medical, dental and vision benefits (for employees & dependents) will be 100% paid for by the company
• Additional benefits: 5% pension match, life insurance, Cycle to Work Scheme, 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 + annual bonuses
• Team Growth: 350+ employees and counting across 5 global offices

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.