Leads MDAO for air vehicles and missiles, integrating disciplinary models, automating workflows with commercial MDAO frameworks, and applying AI to accelerate design. Uses Python/MATLAB, CAD scripting, DOE, optimization, and uncertainty quantification for collaborative combat aircraft programs.
Designs and implements advanced tracking algorithms and real-time software systems for air and missile defense radar, processing sensor data to detect, track, and characterize airborne threats using C++, Python, and signal processing techniques.
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…
Builds and maintains automated test suites and diagnostic interfaces for Sentry Tower hardware on the production floor, working directly with technicians to verify units before shipment. Uses Python, Rust or C++, and networking tools like CAN/Ethernet, Wireshark, and CANoe.
C++ Engineer on Anduril's Air & Missile Defense Radar team, designing and implementing tracking algorithms and high-performance real-time software that processes radar sensor data to detect and track airborne threats, using C++, Python, mathematics, and signal processing in small, focused teams.
Anduril Industries is hiring a Computer Vision Engineer for its Space team in Costa Mesa, CA. The person will design, build, and test perception subsystems—sensors, algorithms, flight software, and simulation—for autonomous spacecraft across LEO, MEO, GEO, and other orbital regimes, using C++ on Linux and ML-based computer vision.
Designs and builds computer vision and perception systems for autonomous spacecraft, including algorithms, simulation, and flight software across LEO, MEO, and GEO missions. Core technologies include C++, Linux, ML, SLAM, and sensor fusion for defense space programs.
The engineer designs and optimizes real-time computer vision algorithms—target detection, tracking, calibration, and pose estimation—for a software-defined weapon optic running on embedded platforms, using C++ and Python.
Builds and maintains test and release infrastructure for radar software, writing automated tests (Python/C++), running CI/CD pipelines, and operating hardware-in-the-loop test rigs to keep radar releases repeatable, traceable, and auditable on Linux.
Designs, develops, and tests electronics for airborne EO/IR imaging systems, including sensor electronics, aircraft interfaces, and power management, at Anduril Imaging. The role covers PCB layout, lab/ground/flight testing, troubleshooting, and cross-functional integration, with optional use of MATLAB, Python, or C++.
Designs and lays out electronics for space-bound imaging payloads, owning architecture from concept through flight. Works on power, sensor, and interface PCBs for EO/IR sensor systems, handling bring-up, qualification, and space-environment testing (radiation, thermal, vacuum, vibration).
Owns the electrical architecture for space-bound imaging payloads, driving design from concept through flight. Hands-on with analog, mixed-signal, FPGA, and power electronics for EO/IR sensors, qualifying hardware for the space environment via TVAC, vibration, and EMI/EMC testing.
Embedded Linux Software Engineer on Anduril's DeviceOS team, owning the boot path and hardware-enablement platform for autonomous robotic systems. Day-to-day work covers U-Boot/EDK2 firmware, device trees, kernel drivers, encrypted storage, NixOS, and vendor BSPs (NVIDIA Jetson/Tegra, NXP) using C, Rust/C++, and Python/Bash for HIL testing.
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