Multi-Sensor Navigation R&D Engineer

Join Trimble’s multi-sensor SLAM team to advance real-time navigation by fusing SLAM with GNSS/INS. You will design and implement software that runs on embedded systems, integrating LiDAR and camera-based SLAM with precise GNSS positioning. You’ll work across cross-functional teams to evolve the ProPoint engine with cutting-edge multi-sensor capabilities. This role blends research-style algorithm development with production-grade software engineering, delivering scalable solutions for diverse applications. The opportunity offers impact in a values-driven, international environment with opportunities to shape future navigation technology.

• cutting-edge GNSS/INS technology
• hybrid work profile
• flexible working hours
• international team with 30 countries
• long-term secure position
• equitable compensation

• Define and develop a sustainable software architecture for multi-modal SLAM with LiDAR and camera data
• Implement SLAM algorithms in C++ for real-time embedded systems, including testing and verification
• Define component interfaces and collaborate with teams to integrate other components
• Manage code base, releases, and perform code reviews
• Use Matlab and/or Python for data analysis, visualization, and algorithm development
• Contribute to IP protection through documentation and patent filings

• Proven track record in developing and deploying SLAM algorithms
• Proven experience in developing production-grade C++ code for real-time embedded systems in large code bases with strict release requirements
• Master's degree in relevant field
• Strong analytical, problem-solving and mathematical skills
• Experience with Matlab, Python or equivalent
• Excellent communication skills in English
• Ability to work in a fast-paced development environment with changing priorities

• Excellent communication
• Team collaboration
• Adaptability
• SLAM algorithm development
• C++ production code for embedded systems
• Real-time systems