Senior Software Engineer, Backend Systems
Position Summary & Responsibilities
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.
The Role
We're hiring a Senior Backend Engineer to design and build the services that sit at the heart of the Distributed Spectrum platform: the systems that ingest spectrum data, orchestrate ML inference, and increasingly, power autonomous agents that reason over what our sensors see. You'll define how our backend evolves from a set of services into an agent-native system — one where models, tools, and workflows are first-class citizens of the architecture rather than bolted-on integrations.
This is a high-ownership role. You'll set technical direction, make architecture decisions that stick for years, and mentor engineers around you.
What you'll do
Design, build, and operate backend services that are reliable, observable, and built to scale with our sensor fleet and customer base.
Architect the agent layer of our platform: tool-calling interfaces, orchestration, state management, memory, and evaluation harnesses for LLM- and model-driven agents.
Own the ML inference architecture — model serving, batching, GPU/CPU scheduling, latency and cost optimization, and the APIs that expose inference to the rest of the system.
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Key Role Competencies & Evaluation Highlights
Evaluating advanced technical specialization, remote work mastery, and the capability to lead cross-functional engineering initiatives autonomously.
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