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

The role

You will build production C++ software for Linux-based edge computing systems, including imaging, sensor integration and mission systems. You will also lead technical direction, shape architecture and mentor engineers while staying hands-on with code.

What you will do

• Lead the technical direction of significant edge software capabilities across 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 practical engineering practices.
• Mentor and coach engineers.
• Partner with systems, autonomy, AI and product teams to build engineering roadmaps.
• Design, develop, test and maintain production C++ software for edge, imaging, mission and test systems.
• Build Windows and Linux user-space applications for NVIDIA Jetson, ARM64 and other edge platforms.
• Integrate RGB, NIR and thermal cameras with GPS, IMU and other sensors over interfaces such as MIPI CSI, GMSL, Ethernet and serial.
• Optimise software for latency, throughput, reliability, power and thermal performance.
• Debug complex issues spanning application software, Linux, networking, hardware interfaces and deployment.

Required qualifications

• 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.
• Practical experience developing and debugging software on Linux.
• Experience developing complex C++ applications on Linux, Windows or both.
• Strong software engineering fundamentals: 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.
• Experience owning technical work from incomplete requirements through delivery.
• Excellent collaboration skills across multidisciplinary engineering teams.

Nice to have

• Runtime-critical, multi-threaded or performance-sensitive C++ software.
• High-throughput imaging or sensor processing pipelines (GStreamer, FFmpeg, OpenCV or similar).
• Hardware-accelerated processing on edge platforms (NVIDIA Jetson, CUDA, embedded AI accelerators).
• Integration of RGB, NIR and thermal cameras, GPS, IMU or GPUs.
• Robotics, aerospace, defence, autonomy, unmanned systems, automotive or other mission-critical domains.
• Automated testing, simulation, HIL/SIL, CI/CD or deployment infrastructure.
• For Staff level: defining architecture for large systems, influencing direction across teams, establishing engineering standards or platforms adopted by multiple teams.

Before you apply

• This role may be hired at Senior or Staff Engineer level depending on experience.

About the company

Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.