Staff Mission Systems Engineer on Anduril's Air Dominance & Strike team, selecting, integrating, and validating payloads and systems for autonomous air systems. Conducts system trades, physics-based modeling, and mission-level simulation; works with subcontractors and internal teams. Requires active U.S. Top Secret clearance.
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…
Staff Robotics Software Engineer leading perception and planning for autonomous attack rotorcraft (Thunder), owning multi-year roadmap, architecting sensor fusion, computer vision, motion planning in C++/Python, collaborating cross-functionally, up to 20% travel.
Drives design, development, and production scaling of Anduril's Advanced Targeting System—a rugged hardware product fusing sensing, optics, and weapon integration—by coordinating mechanical, electrical, firmware, and optics teams, managing roadmaps and compliance (ITAR/RMF), and guiding the transition from prototype to full-rate production.
Staff ML Tech Lead Manager owning the machine learning stack for Anduril's Counter Intrusion team, designing and deploying multi-sensor computer vision models on edge devices using C++, Python, PyTorch, and TensorRT for real-time defense applications.
Electro-optical systems engineer for space payloads: designs, tests, and calibrates EO sensors (visible to LWIR, LiDAR) from concept through on-orbit operations, using optical lab equipment and cross-team integration.
Systems Engineer for Space Imaging team defining EO/IR sensor architectures, performing radiometric modeling, and leading lab/flight testing for spaceborne systems using MATLAB, Python, and EO/IR modeling tools (MODTRAN, SPIRITS, AFSIM).
Systems Engineer for Anduril's Space Imaging team, defining EO/IR sensor architectures, performing radiometric modeling, lab/flight testing, and leading interdisciplinary teams using MATLAB/Python and tools like MODTRAN.
Owns end-to-end simulation verification and validation for Zoox's autonomous driving system, defining metrics and methods that show how closely simulation matches reality so simulated miles can support safety clearance. Leads a cross-functional VnV program across simulation, perception, planning, safety, and data teams, and mentors engineers in systems thinking.
What You’ll Do: Develop computer vision and machine learning solutions for autonomous vehicle perception systems for object and signal recognition (ex. emergency vehicles, school buses, authority figures, and…
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