As a Robotics SLAM Engineer, you’ll play a critical role in designing, implementing, and optimizing localization and mapping algorithms for real-time, autonomous navigation in highly dynamic and challenging environments. Key Responsibilities: Design and implement real-time SLAM algorithms (Visual, LiDAR, Multi-Sensor Fusion) Develop robust localization pipelines for GPS-denied, degraded visual environments Integrate SLAM systems into our autonomy stack, working closely with perception, controls, and hardware teams Optimize performance across embedded compute platforms (GPU, ARM) Conduct field testing, system validation, and failure analysis in simulation and real-world environments Support government R&D projects and collaborate with defense partners What We’re Looking For: Strong experience in SLAM (e.g., ORB-SLAM, Cartographer, RTAB-Map, Kimera, etc.) Proficiency in C++ and Python; ROS/ROS2 experience preferred Deep understanding of sensor fusion (IMU, LiDAR, cameras) Experience with real-time systems and/or embedded optimization Familiarity with defense/military domain a plus (but not required) M.S. or Ph.D. in Robotics, Computer Science, or related field Must be a U.S. citizen and eligible for security clearance Why Join Us? Mission-driven work in national security and defense autonomy Competitive salary + equity package Early-stage ownership and high technical autonomy Access to live field tests, novel hardware, and advanced simulation environments Work alongside world-class robotics, AI, and systems engineers Ready to build the future of autonomous defense systems? Darwin Recruitment is acting as an Employment Agency in relation to this vacancy. George Wiles #J-18808-Ljbffr Darwin Recruitment
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