Software Engineer, Robotics Data Foundation

About the Role

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.

Key Responsibilities

• 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.
• Eagerly engage with our customers: We partner closely with business line engineering teams to understand their specific data requirements and iteratively deliver solutions that meet their particular needs and constraints.

Requirements & Tech Stack

• Experience with modern lakehouse architectures (Iceberg, Delta Lake), ETL systems (Flyte, Dagster, Airflow, Argo Workflows), and distributed data processing engines (Spark, Trino, etc.).
• 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).
• Experience building and operating cloud systems, including common containerization and deployability technologies (Docker, Kubernetes, GitOps systems like FluxCD / ArgoCD).

Qualifications

• U.S. Person status is required as this position needs to access export controlled data.
• Eligibility to obtain/maintain a U.S. Top Secret clearance is also desirable.