Senior Software Engineer, Robotics Data Foundation (Cloud)

Anduril Industries; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Full Family Health Coverage

16 Weeks Paid Parental Leave

Family Planning & Support

Incentivized Time Off

Mental Health Resources

Financial Planning

Unlimited Provisions

Professional Development

Job summary

Anduril Industries in Boston, MA seeks an engineer for the Robotics Data Foundation team to build cloud systems handling vehicle telemetry from onboard to cloud. You will design ingestion pipelines, storage, and tooling to make data discoverable and analyzable across fleets.

You will normalise diverse data sources, support large-scale batch ingestion and low-latency streaming, and enable edge-compatible cloud-native solutions for offline environments.

Qualifications

• Experience with modern lakehouse architectures (Iceberg, Delta Lake).
• Proficient in Python, Java, Rust, or Go for backend/data pipelines.
• Experience building cloud data systems with Docker/Kubernetes and GitOps.
• U.S. Person status required for export-controlled data.

Responsibilities

• Design and build Anduril-wide cloud ingestion pipelines and storage for telemetry data.
• Normalize data across controllers, vehicle systems, and sensors for analysis tools.
• Develop scalable streaming and batch data infrastructure for high throughput telemetry.
• Collaborate with engineering teams to deliver live telemetry and offline data access.

Skills

Python

Rust

Go

Java

Spark

Kafka

Delta Lake

Iceberg

Dagster

Airflow

Tools

Docker

Kubernetes

FluxCD

ArgoCD

Job description

Responsibilities

• 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.
• 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.
• Normalise data across flight controllers, vehicle management systems, mission systems, and sensor payloads, 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 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 deliver 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 field 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 needs and constraints.

Benefits

• Full Family Health Coverage
• 16 Weeks Paid Parental Leave for All Caregivers
• Family Planning & Support
• Incentivized Time Off
• Mental Health Resources
• Financial Planning
• Unlimited Provisions
• Professional Development

Qualifications

• Experience with modern lakehouse architectures (Iceberg, Delta Lake), ETL systems (Flyte, Dagster, Airflow, Argo Workflows), and distributed data processing engines (Spark, Trino, etc.).
• 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 containerization and deployability technologies (Docker, Kubernetes, GitOps systems like FluxCD / ArgoCD).
• U.S. Person status is required as this position must access export‑controlled data.
• Eligibility to obtain/maintain a U.S. Top Secret clearance is desirable.
• Experience developing and operating high‑throughput streaming data pipelines (leveraging systems like Spark Streaming, Flink, Kafka).