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.