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Telebortix Innovations Pvt. Ltd. is hiring an autonomy engineer to work across the full robotics stack for multiple UAV programmes in New Delhi on-site. You will develop and integrate autonomy software spanning planning, perception, localization, and control within ROS 2.
You will build scalable middleware, logging, telemetry, and data pipelines connecting flight computers, ground stations, and simulations. Expect rigorous C++/Python development, CI, and on-site support during field trials.
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: Autonomy | Experience: 2–5 years | Type: Full-time, New Delhi
A generalist autonomy engineer comfortable moving across the full robotics stack — planning, perception, control, localization, and systems integration. You'll work on whichever part of the stack the mission needs, across multiple UAV programmes simultaneously.
Develop and integrate autonomy software across path planning, perception, state estimation/localization, and control modules in ROS 2.
Build robust middleware, logging, telemetry, and data pipelines connecting flight computers, ground stations, and simulation.
Implement localization solutions combining GNSS, VIO, and other aiding sources; handle sensor dropouts gracefully.
Write production-quality C++/Python with tests, CI, and clear documentation.
Debug full-system issues spanning firmware, drivers, networking, and application layers.
Support simulation infrastructure and field trials (data collection, log triage, on-site fixes).
B.Tech/M.Tech in CS, Robotics, or related field.
2+ years of robotics software development with ROS/ROS 2 on real hardware.
Strong C++ (14/17) and Python.
Working knowledge across at least three of: path planning, perception, control, state estimation, mapping.
Comfort with Linux systems, Git, Docker, and embedded compute platforms (Jetson/RPi class).
Experience with real-time systems, DDS, or networking for multi-vehicle systems.
Contributions to open-source robotics projects.