Robotics Controls Engineer

TelebortiX; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Telebortix Innovations Pvt. Ltd. in New Delhi (on-site) seeks an experienced Flight Control Engineer to own flight control, path planning, and simulation across UAV fleets, spanning fixed-wing, multirotor, VTOL hybrids, and swarming platforms.

The role involves taking controllers from simulation to flight test, collaborating with perception and embedded teams, and shaping test campaigns for field trials across defence projects.

Qualifications

• B.Tech/M.Tech/PhD in Robotics, Aerospace, Mechanical, or Electrical Engineering with strong control theory.
• 3+ years hands-on experience with control of real robotic/aerial systems.
• Strong C++ and Python; experience with ROS/ROS 2.
• Experience with PX4/ArduPilot preferred.

Responsibilities

• Design, implement, and tune flight controllers (PID, LQR, MPC, geometric/nonlinear control) for multirotor, fixed-wing, and hybrid VTOL platforms.
• Develop UAV path planning and trajectory generation algorithms (minimum-snap, RRT*/A* variants, receding-horizon planning) including obstacle avoidance in cluttered and GNSS-denied environments.
• Build and maintain high-fidelity simulation environments (Gazebo/Isaac Sim/custom) for SIL/HIL validation, including aerodynamic and sensor models.
• Apply learning-based methods where appropriate: reinforcement learning for control policies, learned dynamics models, imitation learning from flight logs.
• Own system identification: extract vehicle dynamics from flight data, validate models, and close the sim-to-real gap.
• Support swarm coordination behaviours (formation control, consensus, task allocation) on the VYUHA/CHAKRA programmes.
• Participate in flight test campaigns: define test cards, analyse telemetry, iterate rapidly.

Skills

C++

Python

ROS/ROS 2

Control theory

Education

B.Tech/M.Tech/PhD in Robotics/Aerospace/Mechanical/Electrical Engineering

Tools

Gazebo

Isaac Sim

Simulation frameworks

Job description

Telebortix Innovations Pvt. Ltd. — Open Positions

Location: New Delhi (on-site) | Company: Defence-tech startup building autonomous UAV systems for the Indian Armed Forces — GNSS-denied navigation, edge autopilots, swarm coordination, tactical and heavy-lift UAVs.

Note: All roles involve work on defence programmes. Indian citizenship is required. Roles involve periodic travel to field trial locations (Army/Navy establishments across India).

Team: GNC (Guidance, Navigation & Control) | Experience: 3–7 years | Type: Full-time, New Delhi

About the Role

• You will own flight control, path planning, and simulation across our UAV fleet — fixed-wing, multirotor, VTOL hybrids, and swarming platforms. You'll take controllers from simulation to flight test, working closely with perception and embedded teams.

Responsibilities

• Design, implement, and tune flight controllers (PID, LQR, MPC, geometric/nonlinear control) for multirotor, fixed-wing, and hybrid VTOL platforms.
• Develop UAV path planning and trajectory generation algorithms (minimum-snap, RRT*/A* variants, receding-horizon planning) including obstacle avoidance in cluttered and GNSS-denied environments.
• Build and maintain high-fidelity simulation environments (Gazebo/Isaac Sim/custom) for SIL/HIL validation, including aerodynamic and sensor models.
• Apply learning-based methods where appropriate: reinforcement learning for control policies, learned dynamics models, imitation learning from flight logs.
• Own system identification: extract vehicle dynamics from flight data, validate models, and close the sim-to-real gap.
• Support swarm coordination behaviours (formation control, consensus, task allocation) on the VYUHA/CHAKRA programmes.
• Participate in flight test campaigns: define test cards, analyse telemetry, iterate rapidly.

Required Qualifications

• B.Tech/M.Tech/PhD in Robotics, Aerospace, Mechanical, or Electrical Engineering with strong control theory foundations.
• 3+ years of hands-on experience with control of real robotic/aerial systems (not simulation-only).
• Strong C++ and Python; experience with ROS/ROS 2.
• Solid understanding of rigid-body dynamics, state estimation (EKF/UKF), and trajectory optimization.
• Demonstrated experience in at least one of: MPC on embedded hardware, RL for robotics, or multi-vehicle coordination.

Preferred

• Experience with PX4/ArduPilot control stack internals.
• Publications or open-source contributions in planning/control.
• Familiarity with GNSS-denied navigation challenges.