Description:

At VinDynamics, we build home assistive robots that will help billions of people and families across the world. We are seeking talented and self-driven engineers to join our stellar team. You will work and collaborate with cross-functional teams such as electrical and mechanical to implement effective SLAM and navigation system for the robot.

Key Responsibilities:

• Define vision and roadmap for SLAM and Navigation systems
• Design and implement robust visual-inertial, camera, LiDAR, wheel encoders, or multi-sensor fusion-based SLAM systems
• Develop scalable back-end optimization (graph-based, factor graph, bundle adjustment, etc.) for real-time performance
• Improve robustness against dynamic environments, lighting changes, and sensor noise
• Architect navigation stacks including path planning, obstacle avoidance, and motion control
• Implement global and local planners for structured and unstructured terrains
• Integrate navigation with manipulation and perception modules for full autonomy
• Mentor junior engineers and establish best practices for SLAM and navigation software
• Ensure software reliability and robustness and real-time.

Requirements:

• Master’s or PhD in Robotics, Computer Science, Electrical Engineering, or related field
• 5 years minimum experience in AI decision making, SLAM, navigation, and robotics autonomy systems
• Strong proficiency in C++ and Python
• Familiar with ROS/ROS2
• Experience with visual-inertial odometry, graph optimization (e.g., GTSAM) and sensor fusion
• Deep knowledge of planning algorithms (A*, RRT*, MPC, sampling-based methods).

Compensation:

VinDynamics offers competitive base, full benefits and other incentives. Flexible time-off policy. Focus on output and ability to work with an interdisciplinary team.

Location: Hanoi Vietnam and Reno Nevada (coming).