Robotics Engineer

19 hours ago

Hyderabad, Telangana, India PhoQtek labs Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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