VinMotion
is developing advanced,
legged and humanoid robotic systems
capable of operating robustly in real-world, unstructured environments. Our work spans perception, state estimation, navigation, and locomotion for complex multi-DoF robots. We are looking for a
Robotics Engineer (SLAM & Navigation)
to build reliable localization and navigation systems tailored specifically for
legged robots
.
Key Responsibilities:
-
Design, implement, and maintain
SLAM and localization systems
for legged robots operating in complex and uneven environments.
-
Develop
state estimation and sensor fusion
algorithms (IMU, LiDAR, RGB-D, proprioception) suitable for dynamic locomotion.
-
Build and optimize
navigation pipelines
(global planning, local planning, terrain-aware navigation) for legged platforms.
-
Integrate SLAM and navigation tightly with
locomotion and whole-body control
stacks.
-
Adapt navigation and mapping algorithms to handle
non-planar motion, foot contacts, and body oscillations
.
-
Develop and tune
trajectory generation
and motion constraints for legged robot navigation.
-
Evaluate and validate algorithms in
simulation environments
such as Gazebo, MuJoCo, and Isaacsim.
-
Deploy and debug navigation systems on
real legged robots
, ensuring robustness and real-time performance.
-
Collaborate closely with
locomotion, control, perception, and hardware teams
.
Requirements:
-
Bachelor's, Master's, or Ph.D. in Robotics, Control Engineering – Automation, Mechatronics, Computer Science, or related fields.
-
Proficient in C++ and Python programming, with experience working with ROS2.
-
Deep understanding of
SLAM, localization, and state estimation
, especially for
moving-base robots
.
-
Experience with
navigation and motion planning frameworks
such as
Navigation2 (Nav2), Moveit2
or custom navigation stacks.
-
Hands-on experience deploying algorithms on
real robotic systems
, preferably legged robots.
Preferred Qualifications:
-
Experience with
legged robots
(quadruped or humanoid) and terrain-aware navigation.
-
Knowledge of
footstep planning
, terrain mapping, or elevation maps.
-
Practical experience with
LiDAR- or vision-based SLAM
in real environments.
-
Familiarity with simulation tools such as
MuJoCo, Gazebo, or Isaacsim
.