Senior/Staff Engineer, C++ Software - Edge Systems (R5191)

• Technical Leadership

• Lead the technical direction of significant edge software capabilities spanning edge compute, imaging, sensor integration, and mission systems.

• Influence software architecture across multiple projects and engineering teams.

• Drive engineering excellence through design reviews, technical standards, and pragmatic engineering practices.

• Mentor and coach engineers, helping raise the technical capability of the wider organisation.

• Partner with systems, autonomy, AI, and product teams to translate long-term capability into engineering roadmaps.

• Identify technical risks early and guide teams toward robust, maintainable solutions.

• Balance long-term architectural investment with practical product delivery.

Software Engineering

• Design, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, and automated test infrastructure.

• Build user-space Windows and Linux applications for NVIDIA Jetson, ARM64, and other edge compute platforms connected to cameras, sensors, and mission systems.

• Integrate RGB, NIR, and thermal cameras alongside GPS, IMU, and other sensors using interfaces such as MIPI CSI, GMSL, Ethernet, serial, or comparable hardware-facing protocols.

• Develop calibration, synchronisation, data capture, diagnostics, inspection, and configuration tools for complex sensor systems.

• Optimise software for latency, throughput, reliability, power consumption, and thermal performance on constrained edge compute platforms.

• Debug challenging issues spanning application software, Linux, networking, hardware interfaces, timing, deployment, and system integration.

• Own technical outcomes from ambiguous requirements through design, implementation, integration, verification, and delivery.

• Collaborate across systems, hardware, AI, autonomy, product, and test teams to deliver integrated capability.

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• Degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, or a related discipline, or equivalent industry experience.

• Strong commercial experience developing modern C++ software for Linux.

• Demonstrated experience developing user-space applications that interface with cameras, sensors, networking, GPUs, storage, or other hardware through operating system APIs, middleware, or vendor SDKs.

• Practical experience developing and debugging software on Linux.

• Experience developing complex C++ applications on Linux, Windows, or both. Experience deploying software to Linux-based edge compute platforms such as NVIDIA Jetson or comparable ARM64 systems is highly regarded.

• Strong software engineering fundamentals including concurrency, interfaces, memory management, data structures, algorithms, testing, and version control.

• Proven ability to diagnose complex issues across software, Linux, networking, timing, hardware integration, and deployment boundaries.

• Experience owning technical work from incomplete requirements through design, implementation, integration, verification, and delivery.

• Excellent collaboration skills across multidisciplinary engineering teams.

• 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.

• High-throughput imaging or sensor processing pipelines, including camera integration, ISP tuning, GStreamer, FFmpeg, OpenCV, or similar technologies.

• Hardware-accelerated processing on edge compute platforms including NVIDIA Jetson, Qualcomm Snapdragon, CUDA, GPU compute, embedded AI accelerators, or accelerated video processing.

• Integration of RGB, NIR, and thermal cameras, GPS, IMU, GPUs, or comparable peripheral hardware.

• Robotics, aerospace, defence, autonomy, unmanned systems, automotive, or other mission-critical domains.

• Systems architecture, interface design, software decomposition, reliability, maintainability, and testability.

• Low-level Linux, vendor SDKs, driver-adjacent debugging, NixOS, edge AI inference, containerisation, or deployment tooling.

• Automated testing, simulation, software-in-the-loop, hardware-in-the-loop, CI/CD, or deployment infrastructure.

• While we hire across multiple experience levels, successful Staff Engineer candidates will typically demonstrate several of the following:

• Experience defining architecture for large or technically complex software systems.

• A track record of influencing technical direction across multiple teams or products.

• Proven technical leadership through influence rather than organisational authority.

• Experience mentoring senior engineers and helping grow engineering capability across an organisation.

• Ownership of long-term technical strategy alongside day-to-day software delivery.

• Strong judgement when balancing performance, reliability, maintainability, scalability, and delivery.

• Experience establishing engineering standards, reusable frameworks, or software platforms adopted by multiple teams.

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