Software Engineer, Robotics Data Foundation (Cloud)

S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.

Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Robotics Data Foundation (RDF) team builds Anduril's vehicle telemetry backbone, from onboard systems to cloud. This includes onboard data recording and backhaul, ingestion into our cloud data platform, normalizing data across flight controllers and vehicle management systems, mission systems, and sensor payloads, and making it available to a range of downstream 1st and 3rd-party analysis tools. Our vehicle telemetry platform powers software and hardware development, T&E workflows, production incident response, and contractual customer reporting today, and underpins new product development, fleet-wide analysis, simulation, and machine learning workflows.

Anduril sits on the world's largest defense robotics data asset, and the RDF team is working to operationalize that across the board. ABOUT THE JOB As an engineer on the Robotics Data Foundation team, you will design and build the Anduril-wide cloud systems that host our ingestion pipelines, storage systems, and tooling that carry vehicle telemetry from onboard systems to the cloud and make it discoverable, searchable, and analyzable across the fleet. You'll normalize data across flight controllers, vehicle management systems, mission systems, and sensor payloads, and expose it to downstream 1st- and 3rd-party analysis tools, and build infrastructure that supports large-scale batch ingestion of recorded telemetry, as well as low-latency streaming.

Build reliable and performant cloud data systems : Our software ingests high volumes of telemetry across Anduril, so the systems we ship must be high-availability and stable when processing high-scale vehicle telemetry. Design extensible telemetry and data architectures : Robotics teams have diverse data sources that are often unique to a platform or sensor. Our architecture must enable easy integration of bespoke data sources into our standardized ingestion framework.

Enable data-driven engineering in real-time : We own the software that delivers live telemetry streams and recorded data to cloud destinations and analysis tools so engineers, operators, and test teams across locations can understand their systems in real-time. Build and develop cloud-native systems that are also edge-compatible: While we are responsible for delivering an excellent cloud data platform experience for all teams across Anduril, we also deliver a subset of capabilities to edge nodes to facilitate telemetry capture in offline / air-gapped settings. You will also be responsible for fielding data systems to classified environments.

Requirements

and iteratively deliver solutions that meet their particular needs and constraints.

REQUIRED QUALIFICATIONS

). Experience developing and operating high-throughput streaming data pipelines (leveraging systems like Spark Streaming, Flink, Kafka). Strong proficiency in Python, Java, Rust, and/or Go (the team predominantly uses Python & Rust for core backend services and pipelines).