Senior Computer Vision & SLAM Engineer (Automotive, Robotics)

The Opportunity:

Adecco is partnering with the client who is a global innovation center dedicated to advancing smart mobility, autonomous systems, and robotics, shaping the future of mobility through cutting-edge R&D, advanced manufacturing, and next-generation technology development.

As a Senior Computer Vision & SLAM Engineer, this role designs and optimizes vSLAM systems with advanced feature extraction, multi-view geometry, sensor fusion, and CUDA-based acceleration, ensuring real-time performance and high-precision localization in autonomous systems.

• Work location: West
• Work hours: Mon-Fri, 9am - 6pm
• Salary: up to $9,500 + VB (2 to 3 months)

The Job:

• Architect and develop high-performance vSLAM systems for multi-camera, high-resolution setups.
• Optimize visual feature extraction, sensor data association, and accelerate performance with CUDA and Tensor Core techniques.
• Design algorithms for data integrity validation and sensor fusion (IMU, Encoder, and others).
• Enhance controller hardware performance for system stability and efficiency.
• Improve the robustness, speed, and scalability of vSLAM algorithms to meet real-time operational requirements with effective validation and testing.

• Develop advanced algorithms for autonomous navigation, including path planning, obstacle avoidance, and efficient docking strategies.
• Implement real-time navigation solutions based on LiDAR, camera, and other sensor data.
• Optimize and tune navigation and docking algorithms to balance accuracy, speed, and computational efficiency.
• Build software bridges ensuring smooth integration and communication between system modules.

The Talent:

• Master's or Ph.D. in Electrical, Mechanical, or Computer Engineering (or related fields) with 5+ years of relevant experience.
• Advanced C++ and Python skills with a strong background in 3D computer vision, multi-view geometry, and SLAM/SfM.
• Practical experience with CUDA, GPU optimization, sensor calibration, and multi-sensor data synchronization.
• Strong foundation in multi-view geometry, linear algebra, probabilistic estimation, and familiarity with libraries like g2o, GTSAM, or Ceres.

• Bachelor's or Master's in Robotics, Computer Science, Electrical Engineering, or related fields with 3+ years of relevant experience.
• Proficiency in C++, Python, and ROS, with hands-on experience in motion planning (A*, D*, RRT, SLAM).
• Solid understanding of real-time systems, control theory, robot kinematics, and dynamics.
• Demonstrated experience in autonomous navigation, obstacle avoidance, docking strategies, and Test-Driven Development (TDD).

Next Steps:

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
• Apply through this application or send your resume to [email protected] in MS Word Copy. We'd love to hear from you!
• We regret that only shortlisted candidates will be notified.

Personnel Registration Number: R22106407