At Doozy Robotics, we design and build flexible and intelligent autonomous mobile robots tailored for industry needs. Our offerings include Humanoid and Autonomous Robots that support both commercial and industrial applications. With an emphasis on innovation and excellence, Doozy Robotics continually pushes the boundaries of robotics technology to meet the growing demands of modern businesses.
Job Overview
We are seeking an experienced
ROS Developer
with a strong background in
ROS1 and ROS2
,
motion planning
, and
robot integration
to join our robotics team. The ideal candidate will have hands-on expertise in
trajectory execution
,
grasp planning
,
inverse kinematics
, and deep familiarity with
MoveIt / MoveIt2
. You will contribute to building intelligent, real-time robotic systems and collaborate across disciplines to bring cutting-edge automation solutions to life.
Key Responsbilities
Develop and maintain robotics software using
ROS1 and ROS2
frameworks.
Implement and optimize
trajectory planning
and
execution pipelines
.
Design and integrate motion planning algorithms using
MoveIt and MoveIt2
.
Work on
grasp planning
and
manipulation
for robotic arms and end effectors.
Develop and maintain
inverse kinematics (IK)
and
custom kinematics solvers
.
Integrate hardware components (robot arms, grippers, sensors) with the software stack.
Implement
sensor fusion
techniques for real-time perception and control.
Conduct simulation and visualization using tools like
RViz
and
Gazebo
.
Collaborate with mechanical and electrical teams to support full-stack robot deployment.
Write clean, efficient, and well-documented code in
C++11
and
Python
.
Qualifications
Bachelor's or Master's degree in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field.
Proven experience with
ROS1 and ROS2
in production environments.
Proficiency in
C++11
and
Python
.
Strong experience in
motion planning
,
trajectory execution
, and
robot control
.
Hands-on experience with
MoveIt / MoveIt2
,
IK solvers
, and
grasp planning
.
Experience with
robot and hardware integration
.
Solid understanding of
sensor fusion
and real-time systems.
Job Types: Full-time, Permanent
Schedule:
Day shift
Work Location: In person
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