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1 day ago
We are seeking a skilled SLAM expert to join our team. The successful candidate will be responsible for developing robust SLAM systems for various robotics platforms, including visual-inertial, LiDAR, and multi-sensor fusion.
The role involves architecting multi-modal SLAM systems with loop closure and relocalization, building scalable map stores, and ensuring tight integration with perception and planning modules.
Key Responsibilities:
- Develop SLAM systems for localization and mapping, including dense and semantic mapping.
- Collaborate with cross-functional teams to deploy SLAM in real-world robotic systems.
- Ensure robustness to dynamics, low-texture environments, and varying lighting/weather conditions.
- Optimize system performance using factor graphs, optimization, and observability analysis.
Requirements:
- 2–3+ years of experience in SLAM or related domains.
- Strong programming skills in C++/Rust and CUDA.
- Expertise in factor graphs, optimization, and observability analysis.
- Familiarity with GNSS/RTK fusion and HD maps.
Skill Requirements:
- SLAM
- C++
- Rust
- CUDA
- Factor Graphs
- Optimization
- GNSS/RTK Fusion
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