# Senior Staff Engineer, C++ Software - Edge Systems (R5848) **Company**: Shield AI **Location**: Melbourne **Work arrangement**: onsite **Experience**: senior **Job type**: International Office Entity **Category**: Engineering **Industry**: Technology **Apply**: https://jobs.lever.co/shieldai/ebd0fc72-501b-48c3-969a-6864b8d3da43?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_16fdb9d5-0ff ## Description Shield AI is seeking a Senior Staff C++ Software Engineer, Edge Systems to define and build the software foundations that power autonomous systems operating in demanding real-world environments. As a Senior Staff Engineer, you will provide technical leadership across the Edge Systems domain. You will shape architecture and long-term technical direction across multiple teams and products, lead the resolution of complex cross-cutting problems, and establish engineering approaches that improve the effectiveness of the broader organisation. This is a hands-on technical leadership role. You will continue to design, write, review, test, and debug production software, while focusing your individual contribution on the organisation’s highest-risk and highest-leverage technical problems. You will develop modern C++ software for Linux-based edge compute platforms, including NVIDIA Jetson-class and ARM64 systems. Your work will span sensor integration, imaging pipelines, calibration, diagnostics, deployment, developer tooling, and mission-critical applications that demand high performance, reliability, and maintainability. ## Responsibilities: - Technical Leadership: - Own and evolve the technical direction of significant edge software capabilities spanning edge compute, imaging, sensor integration, and mission systems. - Define architecture and technical strategy across multiple projects, products, and engineering teams. - Lead the resolution of complex, ambiguous, or cross-cutting technical problems where ownership spans organisational boundaries. - Establish reusable platform capabilities, interfaces, standards, and engineering practices adopted by multiple teams. - Provide technical leadership for major design decisions, including their trade-offs, risks, migration strategies, and long-term consequences. - Identify systemic technical risks and drive coordinated action before they materially affect delivery or product reliability. - Mentor senior engineers and develop other technical leaders, increasing the capability and autonomy of the wider organisation. - Partner with engineering, systems, autonomy, AI, product, and program leadership to translate business and product direction into sustainable technical roadmaps. - Balance long-term platform investment, technical debt, operational risk, and near-term product delivery. - Communicate complex technical decisions, strategy, and risks clearly to both engineering and non-engineering stakeholders. - Software Engineering: - Design, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, diagnostics, and automated testing. - Build user-space 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 operating system APIs, middleware, vendor SDKs, and hardware-facing interfaces. - Develop calibration, synchronisation, data capture, observability, diagnostics, inspection, and configuration tools for complex sensor systems. - Optimise software for latency, throughput, reliability, power utilisation, 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 for complex, cross-team initiatives from ambiguous problem framing through architecture, implementation, integration, verification, deployment, and sustained operation. - Collaborate across systems, hardware, AI, autonomy, product, and test teams to deliver integrated capability. ## Requirements: - Degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, or a related discipline, or equivalent industry experience. - Extensive industry 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. - Deep practical experience developing, profiling, and debugging software on Linux. - Experience deploying complex C++ software to Linux-based edge compute platforms such as NVIDIA Jetson or comparable ARM64 systems. - Strong software engineering fundamentals, including concurrency, interface design, 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 complex technical work from incomplete requirements through design, implementation, integration, verification, deployment, and support. - Excellent communication and collaboration skills across multidisciplinary engineering teams. ## Preferred Qualifications: - 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, 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 application deployment tooling. - Automated testing, simulation, software-in-the-loop, or hardware-in-the-loop environments. ## Skills ### Required - C++ - Linux - edge computing - sensor integration - imaging pipelines - calibration - diagnostics - deployment - developer tooling - mission-critical applications ### Nice to have - Runtime-critical C++ software - multi-threaded C++ software - performance-sensitive C++ software - high-throughput imaging pipelines - sensor-processing pipelines - camera integration - ISP tuning - GStreamer - FFmpeg - OpenCV - hardware-accelerated processing - NVIDIA Jetson - CUDA - GPU compute - embedded AI accelerators - accelerated video processing --- Source: [Apply at jobs.lever.co](https://jobs.lever.co/shieldai/ebd0fc72-501b-48c3-969a-6864b8d3da43?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)