Cloud Data Engineer, Robotics Telemetry & Edge

Anduril-1; Boston (MA); On-site; USD 191,000 - 253,000; Full time

Job summary

Anduril Industries is seeking a Software Engineer for the Robotics Data Foundation to design and build cloud systems that ingest, store, and expose vehicle telemetry for analysis across the fleet.

You will normalize data from multiple sources and enable real-time and batch processing, with edge-compatible capabilities for offline environments. The role requires strong Python/Rust skills and cloud-native experience.

Qualifications

• Experience with lakehouse architectures (Iceberg, Delta Lake) and ETL systems (Flyte, Dagster, Airflow, Argo Workflows).
• Experience developing and operating high-throughput streaming data pipelines (Spark Streaming, Flink, Kafka).
• Strong proficiency in Python, Java, Rust, and/or Go (team uses Python & Rust for core backend services).
• Experience building and operating cloud systems, including Docker, Kubernetes, and GitOps (FluxCD / ArgoCD).
• U.S. Person status is required; eligibility to obtain/maintain a US Top Secret clearance is desirable.

Responsibilities

• Build reliable and scalable cloud data systems for ingestion and storage.
• Normalize data across flight controllers, vehicle management systems, mission systems, and sensors, exposing it to analysis tools.
• Develop real-time streaming and batch ingestion pipelines for telemetry data.
• Create edge-compatible cloud-native infrastructure and support offline/air-gapped environments.
• Collaborate with customers to understand data requirements and deliver tailored solutions.

Skills

Python

Rust

Go

Distributed data systems

Cloud native

Tools

Docker

Kubernetes

Airflow

Dagster

Spark

Kafka

Iceberg/Delta Lake

Job description

Anduril Industries is seeking a Software Engineer for the Robotics Data Foundation to design and build cloud systems that ingest, store, and expose vehicle telemetry for analysis across the fleet.

You will normalize data from multiple sources and enable real-time and batch processing, with edge-compatible capabilities for offline environments. The role requires strong Python/Rust skills and cloud-native experience.