Leads the design and delivery of vehicle perception and planning capabilities for Anduril's autonomous systems, working across the full stack from sensor integration to motion planning. Uses C++, Python, computer vision, sensor fusion, and machine learning to build safe navigation for drones and other autonomous platforms.
Develops and maintains robotics software for autonomous defense systems at Anduril Industries, including frame transformations, guidance, simulators, and multi-agent UAV coordination, using C++ or Rust on Linux in Atlanta, GA.
Robotics Software Engineer at Anduril Industries builds and maintains autonomous drone software—guidance libraries, targeting, Software-in-the-Loop simulators, and multi-agent UAV coordination—using C++ or Rust on Linux, collaborating with hardware teams in Atlanta, GA.
Designs and builds networked software connecting autonomous drones and mission payloads to ground systems using C++/Rust, HTTP/REST/gRPC, and UDP/TCP, with up to 25% travel for field testing and deployment.
Robotics Software Engineer on Anduril's Maneuver Dominance team, building and deploying portable command-and-control software for autonomous aerial and ground robotic systems using C++, Rust, or Python, with up to 25% travel.
Designs and develops C++ and Rust software for autonomous robotic systems, focusing on sensor integration (cameras, LiDAR, IMUs), networking, and multi-agent coordination, with up to 25% travel for real-world deployment and testing.
Owns and grows SITL/HITL test infrastructure for robotic Sentry Towers: builds functional test suites and CI pipelines, maintains simulated sensor/video pipelines and hardware benches, using Python, Rust/C++, Nix/NixOS, and Linux systems.
Designs and implements perception, navigation, and motion-planning software for autonomous underwater vehicles at Anduril, using C++/Python, sensor fusion, computer vision, and simulation tools, with up to 20% travel.
Anduril Industries seeks a Robotics Software Engineer for its Vehicle Software team within the Air Dominance & Strike division, building foundational software stacks for autonomous robotic systems like the Fury unmanned fighter jet, involving motion deconfliction, sensor integration, networking, and telemetry, with roles requiring C++/Rust expertise, security clearance, and collaboration with hard
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st…
Monitors and responds to security incidents across Anduril's defense technology environment, triaging alerts, building detection signatures, and conducting threat hunting. Core technologies include Python, SIEM query languages (SPL/KQL/SQL), data lakes, and cloud infrastructure (AWS/Azure/GCP).
Monitors and responds to security incidents across Anduril's defense systems, triaging alerts, building detection signatures and playbooks, and conducting threat hunting. Uses Python, SIEM query languages (SPL/KQL/SQL), and data lake environments across cloud, endpoint, and network infrastructure.
Builds, scales, and optimizes Anduril's machine learning platform and MLOps tooling for autonomous systems, including training, evaluating, and serving AI models (LLMs, computer vision, RL) across cloud and air-gapped edge environments. Uses Python/Go/C++, Docker/Kubernetes, and distributed training frameworks.
Designs and implements real-time tracking algorithms for air and missile defense radar systems, processing sensor data to detect and track airborne threats. Works with C++ and Python in small engineering teams, using modeling and simulation to deploy production defense systems.
Leads Anduril's data ontology and analytics modeling for domains such as Finance, Supply Chain, and Manufacturing, building SQL-based data models and pipelines with dbt, SQLMesh, Palantir Foundry, Athena, Iceberg, and Flyte while partnering with stakeholders to drive data-driven decisions.
Builds and maintains ETL/ELT pipelines and data models that turn HR system data (HRIS, ATS, LMS) into analytics-ready datasets for people analytics. Uses SQL, Python, dbt, Airflow/Flyte and cloud warehouses (Snowflake, BigQuery, Redshift) to support People Analysts and HR stakeholders while enforcing data quality and privacy (GDPR, CCPA).
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