About the role
DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more. Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact. We work with high ownership and trust, and we do it together in the office 5 days/week. What This Role Is Distributed Spectrum uses edge AI to make sense of the electromagnetic environment at machine speed. We deploy small, smart sensors that detect, classify, and characterize RF activity for application across many domains. As our Mission Operations Lead, you'll own the operational seam between what our sensors see and what operators do about it. That means deploying systems, running operations, building targeting workflows, and briefing the people who make decisions. You won't be watching from a TOC. You'll be forward, in the field, turning spectrum data into something the operators can act on.
What You'll Do Deploy and operate AI-driven RF sensors in real-world environments where you’ll configure, validate, troubleshoot, and keep systems healthy across distributed networks. Lead missions across multiple theaters and authorities, serving as the primary operational voice between the field and headquarters. Build RF-to-cyber targeting workflows that translate signal detections, anomaly patterns, and emitter behavior into structured intelligence products for downstream effects. Brief senior officials on performance results, technical capabilities, and insights derived from the RF environment. Drive the product forward by feeding mission lessons, operator needs, and edge cases directly into our engineering team's iteration cycle. Train and lead teams of operators, analysts, and engineers to build playbooks that make complex systems usable by non-specialists.
