Robotics engineer

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, Li DARs, 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 Ph D preferred).

2+ years of hands-on experience  developing and deploying navigation systems for autonomous drones, robots, or vehicles.

Deep expertise in  SLAM (visual, Li DAR, 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, Air Sim, 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.