This role pays more than
81%
of similar roles. Most pay
$152,125–$221,250
— the shaded band above.
At the midpoint, this role pays about
$222k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About Anduril Industries
Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.
Anduril Industries currently has
866 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 837 roles with salary data.
As a Senior Software Engineer, Robotics Data Foundation (Cloud), you will join the Robotics Data Foundation team to build the vehicle telemetry backbone for defense systems. You will design and develop cloud-based ingestion pipelines, storage systems, and tools that transport telemetry from onboard systems to the cloud while ensuring data is discoverable and searchable. Your daily work involves normalizing data across flight controllers, mission systems, and sensor payloads to support real-time analysis and large-scale batch processing. The role requires expertise in Python, Rust, Java, or Go, along with experience in lakehouse architectures like Iceberg or Delta Lake, ETL tools such as Flyte or Airflow, and streaming engines like Kafka or Flink. You will also utilize Docker and Kubernetes to build cloud-native systems that remain compatible with edge nodes for offline environments.
What does a Software Engineer earn in Washington?
Median $207500 from 315 postings across 35 companies.
Design and build cloud systems for ingesting, storing, and analyzing vehicle telemetry data.
Normalize data across flight controllers, vehicle management systems, mission systems, and sensor payloads.
Develop high-throughput streaming and batch ingestion pipelines for large-scale telemetry processing.
Create extensible architectures to integrate diverse and unique data sources into a standardized framework.
Build cloud-native systems that are compatible with edge nodes and classified environments.
Provide real-time telemetry streams to engineers, operators, and test teams across multiple locations.
Partner with business line engineering teams to deliver custom solutions for specific data requirements.
What we're looking for
Experience with modern lakehouse architectures (Iceberg, Delta Lake), ETL systems (Flyte, Dagster, Airflow, Argo Workflows), and distributed data processing engines (Spark, Trino).
Experience developing and operating high-throughput streaming data pipelines using Spark Streaming, Flink, or Kafka.
Strong proficiency in Python, Java, Rust, and/or Go.
Experience building and operating cloud systems with containerization and deployment technologies like Docker, Kubernetes, and GitOps (FluxCD/ArgoCD).
U.S. Person status is required to access export controlled data.
Eligibility to obtain or maintain a U.S. Top Secret clearance (preferred).