Lead Communications Systems Engineer - Tactical Data Links

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:

Lead a team responsible for the design and development of cutting-edge communications and data link systems to interconnect and support Coherent Distributed Networks (CDN)

Support key capabilities to support existing CHAOS sensor products

Develop new communications product families with leading-edge capabilities

Responsibilities:

Design and develop advanced directive data links to connect nodes in a CDN

Implement approaches to reduce the RF signature created by the data links

Working with a group of timing experts, lead an effort to incorporate highly accurate time-transfer algorithms into the network

Lead the development of new communications capabilities with minimal guidance

Procure or develop low-cost, robust hardware to achieve data links in tactical environments between mobile nodes

Explore and implement approaches to position nodes accurately without reliance on GPS

Implement algorithms to achieve advanced directional beamforming

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

Working with radar exports, implement algorithms to relieve network data transfer requirements as means of reducing demands on the network

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 or San Diego, CA 

Minimum Requirements:

Bachelor’s degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience

+10 years of experience of directional communications systems

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

Experience leading a multidisciplinary team

Ability to work independently and as part of a multidisciplinary team

Preferred Requirements:

Graduate degree in STEM (Science, Technology, Engineering or Mathematics) or another related field or equivalent work experience

Strong foundation in both sides of the Systems Engineering V

Experience with C++ and/or other computer languages

Deep understanding of radar systems and modes

Strong understanding of radar principles, signal processing techniques, and algorithms

Expertise with radar waveform design, matched filtering, doppler processing, and clutter rejection te …