Development Engineer (C++)

Job Description

We are looking for a strong C++ engineer with experience in computer vision and embedded Linux to join our robotics and embedded systems team. You will work on edge-computing solutions running on devices such as NVIDIA Jetson platforms, building high-performance applications, firmware-level integrations, and robust desktop tools.

Responsibilities

• Design, implement, and optimize solution in C++.
• Design, implement, and optimize C++ modules for computer vision and edge processing.
• Develop and maintain desktop applications using Qt (C++).
• Work with embedded Linux to integrate and debug firmware, kernel drivers, and low-level interfaces to sensors and cameras.
• Integrate and calibrate cameras into the system.
• Build and maintain CMake-based build systems and project structure.
• Containerize services and development environments using Docker.
• Write and maintain automated tests using GTest and follow best practices for code quality.
• Use Git for version control and participate in code reviews and CI/CD workflows.
• Work in Linux/Bash environments.
• Collaborate closely with robotics, AI, and hardware teams to design reliable, production-ready solutions.

Must-Have Qualifications

• Strong proficiency in C++.
• Solid hands-on experience with CMake and C++ build systems.
• Experience with OpenCV for image and/or video processing.
• Experience working with Embedded Linux.
• Experience building desktop applications.
• Comfortable in Linux environments with strong Bash skills (builds, scripting, remote debugging).
• Experience with Docker (development containers, deployment on edge devices).
• Strong Git workflow knowledge (branching, PRs, code reviews).
• Experience writing unit/integration tests using GTest or similar frameworks.

• Good understanding of:

  • Edge computing concepts.
  • Fundamentals of computer vision (image processing, camera models, calibration basics).

Nice-to-Have / Plus Points

• Familiarity with ROS/ROS2 in robotics environments.
• Experience with SLAM, 3D perception, or basic navigation frameworks.
• Experience with NVIDIA Jetson platforms or similar edge AI hardware.
• Knowledge of communication protocols (CAN, UART, SPI, I2C, Ethernet).