
Embedded Software Engineer
22 hours ago
Hiring: Lead Software Engineer / Architect – UAV Systems
Location: Delhi
Industry: Robotics / Aerospace / Embedded Systems
Experience: 7+ years (2+ years in leadership/architect role)
Qualification: B.E/B.Tech/M.E/M.Tech in CS, Electronics, Embedded Systems, Robotics, or Aerospace
We are looking for a Lead Software Architect to drive the development of advanced UAV systems, including Ground Control Stations (GCS), autonomy modules, and embedded control frameworks.
Key Responsibilities:
- Lead development of Ground Control Station (GCS) software and intuitive UI dashboards using PyQt, Qt, or web-based frameworks
- Architect and manage offboard control systems using MAVROS / PX4 / ArduPilot APIs
- Integrate flight controllers, onboard computing, and multi-sensor payloads using real-time protocols (MAVLink, CAN, UART, DDS)
- Ensure compliance with software standards: ISO 26262, ISO 12207, DO-178C, MISRA, CI/CD
- Maintain and develop ROS/ROS2-based middleware for UAV autonomy: localization, perception, planning, and control
- Lead code reviews, documentation, version control (Git), and ensure traceability across development lifecycle
- Collaborate with embedded, hardware, and systems teams for full-stack integration
- Supervise team members, assign tasks, and monitor progress toward milestones
- Conduct bench testing, simulation validation, and on-field UAV trials
Required Skills:
- Strong command of C++ and Python for embedded systems and autonomy algorithms
- Experience with PX4, ArduPilot, SLAM frameworks (ORB-SLAM2, Cartographer), and sensor fusion
- Hands-on with simulation platforms: Gazebo, AirSim, Webots, RViz
- Deep knowledge of ROS/ROS2, real-time networking, and multi-sensor synchronization
- Exposure to software quality frameworks and DevOps practices (CI/CD, Git, Jira)
Desirable:
- Participation in competitions like AUVSI SUAS, IMAV, Robocon, e-Yantra
- Contributions to open-source UAV/SLAM projects
- Experience with multi-UAV coordination, swarming, or distributed aerial systems
- Familiarity with AI-based perception (OpenCV, YOLO, TensorFlow, ONNX)
- If you're passionate about building cutting-edge UAV systems and leading high-impact projects, we'd love to connect
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