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▷ Only 24h Left : Robotics Engineer

▷ Only 24h Left : Robotics Engineer

PhoQtek labsIndia
23 days ago
Job description

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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