About the job
CHAOS Industries is revolutionizing the defense landscape with innovative systems meticulously crafted for contemporary challenges. Developed by esteemed U.S. military veterans alongside Silicon Valley pioneers, our solutions leverage Coherent Distributed Networks (CDN™) to empower warfighters, commercial air operators, and border protection teams, enabling them to react swiftly, adapt seamlessly, and stay ahead of dynamic threats. In an environment where technological threats escalate at an unparalleled pace, CHAOS Industries provides sophisticated sensing and detection solutions that offer a crucial edge: time.
Founded in 2022, CHAOS Industries has successfully secured $1 billion in funding from prominent investors such as 8VC, Accel, and NEA. Our headquarters is located in Los Angeles, with additional offices in Washington, D.C., San Francisco, Seattle, and London. For further information, please visit www.chaosinc.com.
Role Overview:
- Lead a skilled team focused on the design and development of advanced communication and data link systems to enhance and support Coherent Distributed Networks (CDN).
- Augment existing CHAOS sensor products with key capabilities.
- Create new families of communication products featuring state-of-the-art capabilities.
Responsibilities:
- Design and develop sophisticated directive data links to connect nodes within a CDN.
- Implement strategies to minimize the RF signature generated by data links.
- Collaborate with timing experts to integrate precise time-transfer algorithms into the network.
- Drive the development of innovative communication capabilities with minimal supervision.
- Source or develop cost-effective, resilient hardware to establish data links in tactical settings between mobile nodes.
- Research and apply techniques to precisely position nodes without relying on GPS.
- Deploy algorithms for advanced directional beamforming.
- Optimize algorithms for real-time performance within resource limitations.
- Implement algorithms in programming languages such as C++, Python, MATLAB, and/or in hardware platforms.

