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Robotics Engineer
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Robotics Engineer

Neeta Trivedi's profile picture
Posted by Neeta Trivedi
1 - 3 yrs
₹6L - ₹12L / yr
Bengaluru (Bangalore)
Skills
Robotics
Hardware-in-the-loop simulation
Simulation
Drone Application Development

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

  • Architect and implement algorithms for joint state estimation, integrating multi-sensor inputs.
  • Develop dynamic and real-time path planning solutions for UAVs.
  • Create and validate flight simulations using various COTS Simulators or custom HIL/SIL test environments.
  • Design and integrate advanced navigation systems.
  • Work with avionics, AI, and controls teams to integrate autonomy modules on flight computers and mission systems.
  • Conduct flight trials, performance evaluation, and algorithm optimization under real mission conditions.
  • Support development of mission-critical autonomy frameworks for UAV systems.


Skillset/ Experience Required

  • Strong foundation in linear and nonlinear state estimation and multi-sensor fusion.
  • Expertise in path planning and trajectory optimization for aerial platforms.
  • Proficiency in C++ / Python and ROS / ROS2 for robotic system development.
  • Experience with aerospace kinematics and dynamics modeling, flight control integration, and navigation system design.
  • Hands-on experience with Gazebo / X-Plane / AirSim / Unreal Engine simulators.
  • Practical understanding of vision-based SLAM, visual odometry, and obstacle avoidance.
  • Strong analytical and debugging skills, with a systems-engineering mindset.
  • Exposure to AI-based perception systems.
  • Integration of algorithms with embedded flight computers.
  • Experience with HIL/SIL test setups and flight telemetry systems.
  • Familiarity with DO-178C, DO-254, or other lifecycle processes is a plus.


Educational Qualification

  • B.E. / B.Tech / M.Tech / Ph.D. in Aerospace, Robotics, Computer Science, Electrical, or related disciplines.
  • Academic or project focus in Autonomous Systems, Estimation, Navigation, or AI-based Robotics is preferred.


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About Inferigence Quotient

Founded :
2017
Type :
Products & Services
Size :
20-100
Stage :
Bootstrapped

About

Deep Tech Startup Focusing on Autonomy and Intelligence for Unmanned Systems. Guidance and Navigation, AI-ML, Computer Vision, Information Fusion, LLMs, Generative AI, Remote Sensing

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Connect with the team

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Dr Neeta Trivedi

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