Related skills
lidar slam c++17 imu rgb-d📋 Description
- Design and implement advanced SLAM algorithms for real-time autonomy in complex environments
- Evolve SLAM software with robustness, efficiency, modularity, and scalability
- Integrate research into production systems balancing performance and constraints
- Lead or contribute to feature scoping, delegation, and cross-team progress tracking
- Ensure testing, validation, and documentation of SLAM components
- Collaborate across functions to shape the perception roadmap and product goals
🎯 Requirements
- Engineering or science degree focusing on computer science, electrical engineering, or robotics
- Excellent understanding of SLAM and 3D mapping with real-time multimodal sensing
- Strong C++ (≥ C++17) with modular, scalable, maintainable code
- Ability to translate SLAM and perception research into production-grade implementations
- Strong ownership of technical outcomes, scoping, delegation, and risk management
- Clear communication, mentoring peers, and knowledge-sharing culture
- Integrate LiDAR, RGB-D, and IMU pipelines for real-time perception
- Capable of applying nonlinear optimization and state estimation to improve stability and accuracy
🎁 Benefits
- Data-driven testing of perception systems and deep learning pipelines in robotics
- Experience with customer-facing 3D maps and visualizations
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!