Senior/Staff Engineer, C++ Software - Edge Systems

Responsibilities

Technical Leadership

• Lead the technical direction of significant edge software capabilities spanning edge computing, 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 and raise the technical capability of the wider organisation.
• Partner with systems, autonomy, AI, and product teams to translate long-term capabilities 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-computing platforms connected to cameras, sensors, and mission systems.
• Integrate RGB, NIR, and thermal cameras alongside GPS, IMU, and other sensors using 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-computing platforms.
• Debug 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 capabilities.

Requirements

• 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.
• 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-computing 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.
• 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.

Nice-to-Haves

• Runtime-critical, multithreaded, 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-computing 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.
• Experience in 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.

Additional Staff-Level Experience

• Defining architecture for large or technically complex software systems.
• Influencing technical direction across multiple teams or products.
• Technical leadership through influence rather than organisational authority.
• Mentoring senior engineers and growing engineering capability across an organisation.
• Owning long-term technical strategy alongside day-to-day software delivery.
• Balancing performance, reliability, maintainability, scalability, and delivery.
• Establishing engineering standards, reusable frameworks, or software platforms adopted by multiple teams.