Radar Systems Development Engineer

Chaos Industries; El Segundo (CA); On-site; USD 140,000 - 280,000; Full time

Benefits offered by this job

Health benefits

401k match

FSA/HSA

Life insurance

Free daily lunch

No meeting Fridays

Unlimited PTO

Casual dress

Job summary

Chaos Industries is seeking a Senior Radar Systems Engineer to design and advance radar signal processing for detection, tracking, and classification. The role involves leading development of new radar capabilities and optimizing algorithms for real-time performance on RF platforms.

You will implement solutions in C++, Python, and MATLAB, and contribute to system simulations, field tests, and team mentorship. This onsite role is based in El Segundo, CA with competitive compensation.

Qualifications

• Bachelor’s degree in STEM or related field; equivalent work experience.
• Deep understanding of radar systems, modes, and signal processing techniques.
• Experience with Python or MATLAB for algorithm development.
• RF Systems experience; DSP fundamentals (modulation, filtering, detection).
• Strong data analysis, problem-solving, and independent work skills.

Responsibilities

• Design and develop radar signal processing for target detection, tracking, and classification.
• Lead development of new radar capabilities with minimal guidance.
• Optimize algorithms for real-time performance within resource constraints.
• Implement algorithms in software (C++, Python, MATLAB) and/or hardware (FPGAs, DSPs).
• Analyze radar data to evaluate performance and identify improvements.
• Develop and maintain system simulations and models supporting algorithm development.
• Design and development of radar modes and system requirements.
• Plan and lead field tests and data collection activities.
• Mentor junior engineers and present findings to leadership.

Skills

Radar systems

Signal processing

Python

MATLAB

C++

Algorithm development

Data analysis

RF Systems

Problem solving

Team collaboration

Education

Bachelor’s degree in STEM

Graduate degree in STEM

Tools

Python

MATLAB

C++

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, Seattle, and London. For more information, please visit www.chaosinc.com.

Role Overview

• Support the Systems Engineering design and development of cutting-edge radar capabilities

Responsibilities

• Design and develop advanced radar signal processing algorithms for target detection, tracking, and classification
• Lead the development of new radar capabilities with minimal guidance
• Optimize algorithms for real-time performance and resource constraints
• Implement algorithms in software (e.g., C++, Python, MATLAB) and/or hardware (e.g., FPGAs, DSPs)
• Analyze radar data to evaluate system performance and identify areas for improvement
• Develop and maintain system simulations and models to support algorithm development and performance evaluation.
• Design and development of radar modes
• Contribute to the development of system requirements and specifications
• Modeling and Simulation of radar systems and sub-systems as well as the signal processing chain
• Plan and lead field tests and data collection activities
• Document and present technical findings and progress to leadership
• Mentor and guide junior engineers
• Work full-time onsite at our office in El Segundo, CA

Minimum Qualifications

• Bachelor’s degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
• Deep understanding of radar systems and modes
• Strong understanding of radar principles, signal processing techniques, and algorithms
• Strong familiarity with programming languages like Python or MATLAB
• Systems Engineering experience with RF (Radio Frequency) Systems
• Expertise in digital signal processing (e.g. modulation, filtering, and detection)
• Expertise in algorithm development
• Expertise in data analysis
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a multidisciplinary team

Preferred Qualifications

• Graduate degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
• Expertise with radar waveform design, matched filtering, doppler processing, and clutter rejection techniques
• Strong foundation in both sides of the Systems Engineering V
• Experience with C++

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: 350 employees and counting across 5 global offices

Salary Range: $140,000 - $280,000

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.