Visual SLAM Expert (Multi-Monocular Cameras)

Job description

We are seeking a highly motivated and talented Visual SLAM expert to join our team and contribute to the development of cutting- edge solutions for multi- monocular camera systems.
Qualifications:

Expertise in [specific technologies mentioned like ORB- SLAM3, VINS- Mono, Multi- Col SLAM, or others] is highly desirable.
Master / PhD in Computer Science, Robotics, Engineering, or a related field.
Ability to work independently and take initiative.
Strong experience with Visual SLAM algorithms, preferably with multi- monocular camera systems.
Excellent communication and collaboration skills.
Experience with optimization techniques and probabilistic robotics.
Strong programming skills in C++, Python, or similar languages.

Responsibilities:

Collaborate with other engineers and researchers to ensure successful project completion.
Document and present technical findings and contributions.
Conduct research and development to stay current with the latest advancements in Visual SLAM technology.
Integrate Visual SLAM algorithms with other perception systems (e.g., LiDAR, GNSS, IMU).
Optimize and fine- tune algorithms for real- time performance and accuracy.
Evaluate and benchmark the performance and analysis of the developed algorithms.
Design and implement Visual SLAM algorithms for multi- monocular camera systems, focusing on [specific technologies mentioned like ORB- SLAM3, VINS- Mono, Multi- Col SLAM, or others].

Bonus Points:

Experience with real- time embedded systems development.
Experience with simulation tools for robotics (Movelt and Isaac Sim)
Experience with sensor fusion (e.g., LiDAR, IMU).
Experience in a specific application domain (e.g., robotics, autonomous vehicles).

Be at the epicenter of the Autonomous Robots revolution.
Opportunity to work on cutting- edge technology with real- world impact.
Continued learning and development opportunities.
Work on cutting- edge goods and difficult issues with some really talented (and entertaining) individuals.

Cập nhật gần nhất lúc: 2024-03-09 11:30:36