Distributed Spectrum, founded in 2020, is a venture-backed defense technology company that develops advanced signal-processing and machine-learning software paired with rugged embedded hardware. Their solutions translate critical radio communications into actionable insights for military units, first-responders, and other operators across diverse missions. By integrating state-of-the-art algorithms with field-ready hardware, the company delivers real-time interpretation of radio traffic, enabling users to exploit communications on the fly. A mission-centric focus and rapid innovation culture set Distributed Spectrum apart, attracting professionals who thrive on cutting-edge technology and high-impact solutions.
Open Positions
Machine Learning Infra Engineer
Experience with data infrastructure, AWS, and database design, plus a collaborative attitude and strong writing skills
Mechanical Engineer
Mechanical engineer with experience in thermal analysis, mechanical design, manufacturing processes, and assembly. Strong problem-solving skills and adaptability
Electronic Warfare Engineer
Hands-on EW experience, deep understanding of signal processing and RF systems, familiarity with electromagnetic modeling and simulation tools, comfort in building new capabilities, and a passion for pushing the boundaries of electronic warfare
Mission Operations Lead
4-5 years of experience in mission operations or field engineering, background in signal processing, communications engineering, or similar technical fields, proficiency with data collection workflows, operational tooling, dashboards, or field instrumentation
Proposal and Capture Manager
5-7 years of experience in proposal and capture management, with a strong background in government, defense, or high-complexity markets
Business Development Director
Proven BD leader with RF sensing, AI, or mission-critical sensing experience; strong strategic thinking and execution skills
Full Stack Engineer
Hands-on full stack experience, strong web development fundamentals, and a track record of working fast and delivering in a dynamic environment
Machine Learning Engineer
Strong machine learning fundamentals, ability to work across disciplines, and strong communication skills
Business Development Associate
0-2 years of experience, strong organizational skills, excellent communication, and research-oriented
Geospatial ML Engineer
Deep GIS & geospatial ML expertise, fluency with coordinate systems & map projections, experience in autonomous systems, remote sensing, or visual navigation, and end-to-end model deployment to embedded/edge runtimes
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