Robotics Engineer
5 days ago
Job Description: Autonomous Navigation Specialist {robotics engineer}
Role Overview
We are seeking an experienced Autonomous Navigation Specialist
to design, develop, and optimize advanced navigation systems for autonomous vehicles, drones, and robotic platforms. The ideal candidate will have a proven track record of building robust systems that can operate independently and safely in GPS-denied and complex environments. This role requires deep expertise in algorithm development, multi-sensor fusion, and real-world deployment of navigation stacks.
Key Responsibilities
- Lead the design and implementation of
Simultaneous Localization and Mapping (SLAM)
pipelines for autonomous platforms. - Develop and optimize
path planning
and
motion control
algorithms to enable safe and efficient navigation. - Integrate and calibrate diverse sensors, including
IMUs, LiDARs, cameras, GNSS, and radar
, into a cohesive navigation framework. - Implement and maintain
sensor fusion algorithms
(e.g., EKF, UKF, graph-based optimization). - Conduct extensive
simulation, testing, and validation
using tools like ROS/ROS2, Gazebo, CARLA, or similar platforms. - Collaborate with hardware, perception, and AI teams to deliver end-to-end autonomous navigation solutions.
- Troubleshoot system performance in field tests and iteratively improve reliability under real-world conditions.
- Mentor junior engineers and contribute to technical roadmaps and research directions.
Required Skills & Experience
- Strong background in
robotics, computer vision, or control systems
(Master's or PhD preferred). - 2+ years of hands-on experience
developing and deploying navigation systems for autonomous drones, robots, or vehicles. - Deep expertise in
SLAM (visual, LiDAR, or visual-inertial)
,
path planning
, and
multi-sensor fusion
. - Proficiency in
C++ and Python
, with extensive experience in
ROS/ROS2
. - Strong understanding of
control theory, state estimation, and probabilistic robotics
. - Experience with
simulation tools
(Gazebo, CARLA, AirSim, or equivalent). - Familiarity with GPU/embedded platforms (NVIDIA Jetson, FPGA, or similar).
- Demonstrated ability to solve complex problems and deliver production-ready systems.
Preferred Qualifications
- Experience with
autonomous drones (UAVs)
and
ground robots (UGVs)
. - Publications or patents in navigation, robotics, or related domains.
- Hands-on experience with
field testing
of autonomous navigation systems. - Knowledge of
safety standards
and regulatory requirements for autonomous systems.
What We Offer
- Opportunity to work on cutting-edge autonomous systems with global impact.
- A highly collaborative environment with hardware and AI experts.
- Growth opportunities in a fast-scaling deep-tech startup.
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