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, 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.