At
InferQ
, we are building solutions for
autonomous and intelligent aerial systems
. We seek a
Robotic Navigation Engineer
with deep technical rigor and a passion for developing
mission-critical navigation, estimation, and path planning systems
for UAVs. The role demands hands-on engagement across the autonomy stack. You will work at the intersection of robotics, AI, and aerospace, translating research into reliable field-deployable systems.
Key Responsibilities
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Architect and implement algorithms for joint state estimation, integrating multi-sensor inputs.
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Develop dynamic and real-time path planning solutions for UAVs.
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Create and validate flight simulations using various COTS Simulators or custom HIL/SIL test environments.
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Design and integrate advanced navigation systems.
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Work with avionics, AI, and controls teams to integrate autonomy modules on flight computers and mission systems.
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Conduct flight trials, performance evaluation, and algorithm optimization under real mission conditions.
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Support development of mission-critical autonomy frameworks for UAV systems.
Skillset/ Experience Required
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Strong foundation in linear and nonlinear state estimation and multi-sensor fusion.
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Expertise in path planning and trajectory optimization for aerial platforms.
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Proficiency in C++ / Python and ROS / ROS2 for robotic system development.
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Experience with aerospace kinematics and dynamics modeling, flight control integration, and navigation system design.
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Hands-on experience with Gazebo / X-Plane / AirSim / Unreal Engine simulators.
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Practical understanding of vision-based SLAM, visual odometry, and obstacle avoidance.
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Strong analytical and debugging skills, with a systems-engineering mindset.
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Exposure to AI-based perception systems.
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Integration of algorithms with embedded flight computers.
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Experience with HIL/SIL test setups and flight telemetry systems.
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Familiarity with DO-178C, DO-254, or other lifecycle processes is a plus.
Educational Qualification
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B.E. / B.Tech / M.Tech / Ph.D. in Aerospace, Robotics, Computer Science, Electrical, or related disciplines.
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Academic or project focus in Autonomous Systems, Estimation, Navigation, or AI-based Robotics is preferred.
Skills:- Robotics, Hardware-in-the-loop simulation, Simulation and Drone Application Development