Senior Engineer, C++ Software - Edge Systems (R5190)

requirements through implementation, integration, verification, and delivery. Required

qualifications: Degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, a related technical field, or equivalent real-world engineering experience. Proven commercial or production C++ development experience, including designing, implementing, debugging, and maintaining non-trivial software systems. Demonstrated experience building software that interfaces with real hardware, sensors, embedded devices, robotics, vehicles, imaging systems, networks, or other operational platforms. Practical experience developing and debugging software on Linux-based systems. Experience working with edge compute, embedded compute, ARM-based platforms, NVIDIA platforms, or comparable hardware-constrained environments. Strong software engineering fundamentals, including concurrency, interfaces, memory management, data structures, algorithms, testing, and version control. Proven ability to debug complex issues across software, hardware, operating systems, networking, timing, and integration boundaries. Experience owning technical work from incomplete

requirements through design, implementation, integration, verification, and delivery. Ability to collaborate effectively with cross-functional engineering teams, including systems, hardware, test, autonomy, AI, or product stakeholders. Preferred

qualifications: We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out. Runtime-critical, multi-threaded, or performance-sensitive C++ software for real-time or near-real-time systems. Imaging, video, or sensor pipelines, including camera integration, ISP tuning, high-throughput image processing, GStreamer, FFmpeg, or similar technologies. Hardware-accelerated processing on embedded or edge platforms, including NVIDIA Jetson, Qualcomm-based platforms, embedded AI accelerators, GPU-accelerated video or compute pipelines, or similar systems. Integration of peripheral hardware such as RGB, NIR, and thermal cameras, GPS, IMU, GPU, or vehicle-interface systems. Robotics, aerospace, defence, autonomy, unmanned systems, automotive, or other mission-critical domains. Systems architecture, including interface design, system decomposition, testability, reliability, and maintainability. Low-level Linux, device interfaces, vendor SDKs, driver-adjacent debugging, NixOS, edge AI/ML inference, or related Linux-based deployment environments. Automated build, CI/CD, simulation, software-in-the-loop, hardware-in-the-loop, system test, containerised deployment, or deployment tooling. \n #LI-FB1 #LC Help us redefine what’s possible in AI-driven perception — apply today! Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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