This role pays more than
56%
of similar roles. Most pay
$149,725–$216,000
— the shaded band above.
At the midpoint, this role pays about
$193k
versus about
$183k
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 Software Engineer, Robotics Data Foundation (Cloud), you will join the Robotics Data Foundation team to build the company's vehicle telemetry backbone. You will design and develop cloud-based systems for ingestion pipelines, storage, and tools that transport telemetry from onboard systems to the cloud, ensuring data is discoverable and searchable across the fleet. Your daily work involves normalizing data across flight controllers, mission systems, and sensor payloads while building infrastructure for both large-scale batch ingestion and low-latency streaming. You will utilize Python, Rust, Java, or Go to build cloud-native, edge-compatible systems. The role requires expertise in lakehouse architectures like Iceberg or Delta Lake, ETL systems such as Flyte or Airflow, and distributed processing engines like Spark or Trino. You will also work with Docker, Kubernetes, and GitOps tools to manage high-throughput data pipelines for defense robotics.
What does a Software Engineer earn in Massachusetts?
Median $191500 from 75 postings across 20 companies.
Design and build cloud systems for ingestion, storage, and discovery of vehicle telemetry data.
Normalize data across flight controllers, vehicle management systems, mission systems, and sensor payloads.
Develop high-availability infrastructure to process large-scale batch ingestion and low-latency streaming.
Create extensible architectures that allow the integration of diverse and bespoke data sources.
Build cloud-native systems compatible with edge nodes for offline or air-gapped environments.
Deploy and maintain data systems within classified environments.
Partner with internal engineering teams to identify requirements and deliver tailored data solutions.
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, FluxCD, and ArgoCD.
U.S. Person status is required to access export controlled data.
Eligibility to obtain or maintain a U.S. Top Secret clearance (preferred).
C++
Python
Matlab
Target Tracking
State Estimation
Sensor Fusion
Kalman Filters
Particle Filters
Signal Processing
Machine Learning
NoSQL
Big Data
Linear Algebra
Probability
Stochastic Processes
Algorithm Design
Simulation
C++
Python
Matlab
Kalman Filters
Particle Filters
Sensor Fusion
State Estimation
Signal Processing
Machine Learning
NoSQL
Big Data
Linear Algebra
Optimization
Probability
Stochastic Processes