Robotics Engineer

Robotics Engineer

SKEYEBOTS | Bangalore, India | Full-Time

About SKEYEBOTS

SKEYEBOTS builds AI-driven autonomous systems for unmanned platforms operating across aerial, ground, and maritime environments — systems where reliability is mission-critical, and failure is not an option. We are a well-funded, rapidly scaling deep-tech organisation building some of the most demanding autonomous technology being developed in India today.

The Role

This is a multi-domain role for an engineer who wants to learn fast, contribute across the stack, and grow into a specialist. You will work across software development, hardware integration, field operations, and system testing — getting hands-on exposure to computer vision, perception, motion planning, embedded systems, and autonomous platform deployment in a single role.

If you are sharp, eager, and want your work to matter from day one, this is where you start.

What You'll Work On

• Software feature development across computer vision, perception pipelines, and motion planning modules
• Sensor fusion across camera, LiDAR, IMU, and GNSS for perception and state estimation
• Localization and mapping support using SLAM or visual-inertial odometry stacks
• Obstacle detection and avoidance feeding into the planning layer
• Sensor and camera calibration to keep perception accurate in the field
• Data collection, annotation, and model training pipelines for real-world autonomous systems
• Integration testing and end-to-end system validation on physical autonomous platforms
• Drone field operations — including pre-flight checks, mission execution, and post-flight analysis (DGCA Remote Pilot Certificate sponsored if not already held)
• Ground control station operation and mission planning using QGroundControl or equivalent
• GUI development and tooling using Qt/QML (training provided if needed)
• Hardware-software integration support alongside the hardware engineering team
• Simulation-based testing in Gazebo or equivalent SITL environments

What We're Looking For

Required

• B.Tech / B.E. in Computer Science, Electronics Engineering, Electrical Engineering, Robotics, Mechatronics, or a related discipline where both software and hardware are covered
• 0–2 years of professional or project-level experience in robotics, autonomous systems, or embedded software
• Working knowledge of Python; basic familiarity with C++ is a plus
• Understanding of fundamental robotics and computer vision concepts
• Basic ROS or ROS2 exposure — coursework, personal projects, or internships count
• Linux and Git proficiency
• Hands-on project work demonstrating real hardware or software build experience — not just theory

Preferred

• Exposure to computer vision libraries: OpenCV, PyTorch, or TensorFlow
• Familiarity with ROS/ROS2 nodes, topics, and basic navigation stacks
• Qt/QML experience for GUI or HMI development
• DGCA Remote Pilot Certificate (we will sponsor this if not held)
• Experience with simulation environments: Gazebo, AirSim, or equivalent
• Basic understanding of flight controllers: PX4, ArduPilot, or MAVLink
• Hands-on experience with embedded platforms: Arduino, Raspberry Pi, NVIDIA Jetson, or similar

What You'll Get

• Direct exposure to a full autonomous systems stack — hardware, firmware, CV, planning, and integration — in a single role
• Mentorship from experienced engineers and industry experts across India and internationally
• Field experience operating and testing real autonomous platforms
• A fast track to specialisation in your strongest area as the team grows
• The opportunity to contribute to autonomous systems operating in environments where the stakes are real

Location

Bangalore, Karnataka — full-time, onsite. Travel to Kochi and field test sites as required.

How to Apply

Send your CV and a brief note — a robotics, embedded, or software project you have built, what you were trying to solve, and what you learned when it did not work — to LinkedIn Easy Apply.

We review applications on a rolling basis. Strong profiles hear from us within a week.

SKEYEBOTS is an equal opportunity employer. We evaluate candidates solely on capability, curiosity, and drive.