Staff Radar Systems Development Engineer

CHAOS Industries; El Segundo (CA); On-site; USD 110,000 - 240,000; Full time

Benefits offered by this job

Health benefits

401k

Free daily lunch

No meeting Fridays

Unlimited PTO

Job summary

CHAOS Industries is seeking a senior radar systems engineer to design and implement advanced radar signal processing for target detection, tracking, and classification. You will lead development of new radar capabilities and optimize algorithms for real-time operation, using C++, Python, MATLAB, and potentially FPGAs or DSPs.

You will mentor junior engineers, analyze system performance, and contribute to system requirements while working onsite in Hawthorne, CA with a STEM-focused team.

Qualifications

• Bachelor’s degree in STEM or related field; 10+ years radar systems experience.
• Deep understanding of radar principles, signal processing techniques, and algorithms.
• Strong programming skills in Python or MATLAB; experience with C++.
• Systems Engineering experience with RF systems and real-time constraints.
• Ability to mentor junior engineers and work in multidisciplinary teams.

Responsibilities

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

Skills

Radar systems

Signal processing

Algorithm development

C++ programming

Python programming

MATLAB

RF Systems

Mentoring

Education

Bachelor's in STEM

Graduate degree preferred

Tools

C++

Python

MATLAB

FPGAs

DSPs

Job description

CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today’s realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries’ 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. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.

CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, 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 Hawthorne, CA
• Bachelor’s degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience
• 10+ years of experience of radar systems
• 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
• 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: 200 employees and counting across 5 global offices

Salary range: $110,000 - $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.

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