Robotics Engineer
4 weeks 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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