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

What you'll do:

Design, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, and automated test infrastructure. 
Build Linux-based applications for NVIDIA, ARM, and other embedded compute platforms connected to real sensors, payloads, peripheral hardware, and mission systems. 
Integrate camera inputs such as RGB, NIR, and thermal, alongside GPS, IMU, communications, and other sensor or peripheral inputs using interfaces such as MIPI CSI, GMSL, Ethernet, serial, or similar hardware-facing protocols. 
Develop calibration, synchronisation, data capture, diagnostics, device inspection, and system configuration tools for multi-sensor and mission-system environments. 
Optimise software for latency, frame rate, throughput, reliability, power use, and thermal performance on constrained edge compute platforms. 
Debug issues across software, hardware, operating systems, networking, sensors, timing, compute, and deployment environments. 
Collaborate across systems, hardware, autonomy, AI, product, and test teams to deliver integrated capability. 
Own technical outcomes from ambiguous 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.