Design, build, and program autonomous physical systems — drones, factory and warehouse robots, autonomous mobile robots (AMRs), surgical and rehabilitation robots, agricultural rovers, and the perception / planning / control stacks that make them work. The role spans mechanical CAD, electronics, embedded firmware, ROS / ROS 2 middleware, sensor fusion (LiDAR, IMU, stereo camera, GPS), SLAM, motion planning, and increasingly ML-based perception. In India, robotics hiring is concentrated in defense and aerospace (DRDO, ISRO, BEL, HAL), the EV stack (Ola Electric, Ather, Mahindra for ADAS prototypes), warehouse automation (GreyOrange, Addverb, Flux Auto), agritech (Niqo Robotics, EF Polymer), and a small but rapidly growing surgical / medical robotics space (SS Innovations, Meril Life). The work sits at the intersection of mechanical, electrical, and software engineering in a way few other roles do.
Design, build, and program autonomous physical systems — drones, factory and warehouse robots, autonomous mobile robots (AMRs), surgical and rehabilitation robots, agricultural rovers, and the perception / planning / control stacks that make them work. The role spans mechanical CAD, electronics, embedded firmware, ROS / ROS 2 middleware, sensor fusion (LiDAR, IMU, stereo camera, GPS), SLAM, motion planning, and increasingly ML-based perception. In India, robotics hiring is concentrated in defense and aerospace (DRDO, ISRO, BEL, HAL), the EV stack (Ola Electric, Ather, Mahindra for ADAS prototypes), warehouse automation (GreyOrange, Addverb, Flux Auto), agritech (Niqo Robotics, EF Polymer), and a small but rapidly growing surgical / medical robotics space (SS Innovations, Meril Life). The work sits at the intersection of mechanical, electrical, and software engineering in a way few other roles do.
Reach the office or lab — typically a warehouse-attached R&D facility in Bommasandra (GreyOrange), Noida (Addverb), or a Bengaluru lab; coffee, glance at overnight Gazebo / Isaac Sim regression results and field-deployment telemetry.
Daily 15-min standup — share what perception/planning/control changes landed yesterday, flag any field issues from a customer site.
Pull rosbag files from yesterday's failure runs (warehouse, farm, or hospital) and replay in RViz; localize where the perception or motion stack misbehaved.
Write or refactor ~150-300 lines of C++ / Python for a ROS 2 node — typically a Kalman / EKF tweak, a planner heuristic, or a behavior tree leaf.
Lunch with mechanical and electrical teammates; informal sync on a backlash issue an arm is showing under load.
Stand at the bench with the actual robot (AMR, drone, surgical arm, or rover); run a calibration routine, watch RViz visualize what the robot 'thinks' it's seeing vs. ground truth.
Tune a controller (PID, MPC) or filter — collect new bag data, replay through Jupyter notebooks, iterate on gains, validate on hardware.
Update or retrain a perception model — YOLO or segmentation on freshly labeled data; deploy via TensorRT to the Jetson on the robot, measure latency and accuracy.
Code review for 2-3 teammate PRs — comment on real-time deadline safety, callback ordering, message timing, ROS 2 QoS choices.
Triage a field-deployment ticket from a customer site — pull bag, reproduce in sim, decide if fix is firmware / perception / mechanical.
Cross-functional review with mechanical lead and ML engineer — 45-60 min on next-platform architecture (own SLAM vs. NVIDIA Isaac, own planner vs. MoveIt).
Kick off overnight sim regression with new gains pushed; leave for the day. Field-deployment travel weeks compress all of this and add 6 AM warehouse-floor sessions.
| City | Range |
|---|---|
| Bengaluru | ₹16-28 LPA |
| Hyderabad | ₹15-25 LPA |
| Pune | ₹14-24 LPA |
| Delhi NCR (Noida/Gurugram) | ₹14-24 LPA |
| Chennai / Mumbai | ₹13-22 LPA |
| Remote / International contract | ₹22-50 LPA |
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