{"id":118873,"url":"https://alion.io/job/shield-ai-seniorstaff-engineer-c-software-edge-systems-r5190","title":"Senior/Staff Engineer, C++ Software - Edge Systems (R5191)","company":{"id":50,"name":"Shield AI","domain":"shield.ai","url":"https://alion.io/company/shield-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":73,"open_postings":90,"ghost_share":0,"stale_share":0.856,"repost_share":0.011,"time_to_fill_p50_days":65,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":146000,"max_usd":314000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2415},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Linux","optional":false},{"name":"Windows","optional":false},{"name":"C","optional":true},{"name":"CI/CD","optional":true},{"name":"CUDA","optional":true},{"name":"Edge AI","optional":true},{"name":"FFmpeg","optional":true},{"name":"GStreamer","optional":true},{"name":"NixOS","optional":true},{"name":"OpenCV","optional":true}],"status":"live","first_seen_at":"2026-06-11T17:17:40Z","employer_posted_date":"2026-06-11","last_verified_at":"2026-11-02T13:03:39Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":143},"description":"Job Description:\nShield AI is seeking a Senior / Staff C++ Software Engineer, Edge Systems to help define and build the software foundations that power autonomous systems operating in demanding real-world environments.\nThis role sits within the Edge Systems team, where software meets hardware. You'll solve complex engineering problems spanning Linux edge computing, imaging, sensor integration, mission systems, and autonomy, building software that runs on real hardware in operational environments rather than laboratory prototypes.\nAs one of our senior technical contributors, you'll combine hands-on software engineering with technical ownership. You'll influence architecture, mentor engineers, guide technical direction, and help shape the long-term evolution of our edge software platform while remaining close to implementation.\nYou will develop modern C++ applications for Linux-based edge compute platforms, including NVIDIA Jetson-class systems, ARM64, and Windows 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.\nThis is an application and systems software role, focused on Linux-based edge computing rather than bare-metal firmware or microcontroller development.\nNo two weeks look the same. One day you might be optimising image-processing pipelines on embedded GPUs. The next you could be designing software architecture for future autonomous platforms, integrating new sensors, or collaborating with AI researchers to bring new capabilities into production.\nYou'll work alongside highly capable systems, hardware, autonomy, AI, product, and test engineers who enjoy solving difficult problems together. We believe our strongest technical leaders remain hands-on, and we expect our Staff Engineers to continue writing software while multiplying the effectiveness of the engineers around them.\nThis position may be hired at Senior or Staff Engineer level depending on experience. Responsibilities and scope will be aligned to the successful candidate.\nWhat you'll do:\nTechnical Leadership\nLead the technical direction of significant edge software capabilities spanning edge compute, imaging, sensor integration, and mission systems.\n\nInfluence software architecture across multiple projects and engineering teams.\n\nDrive engineering excellence through design reviews, technical standards, and pragmatic engineering practices.\n\nMentor and coach engineers, helping raise the technical capability of the wider organisation.\n\nPartner with systems, autonomy, AI, and product teams to translate long-term capability into engineering roadmaps.\n\nIdentify technical risks early and guide teams toward robust, maintainable solutions.\n\nBalance long-term architectural investment with practical product delivery.\n\nSoftware Engineering\nDesign, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, and automated test infrastructure.\n\nBuild user-space Windows and Linux applications for NVIDIA Jetson, ARM64, and other edge compute platforms connected to cameras, sensors, and mission systems.\n\nIntegrate 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.\n\nDevelop calibration, synchronisation, data capture, diagnostics, inspection, and configuration tools for complex sensor systems.\n\nOptimise software for latency, throughput, reliability, power consumption, and thermal performance on constrained edge compute platforms.\n\nDebug challenging issues spanning application software, Linux, networking, hardware interfaces, timing, deployment, and system integration.\n\nOwn technical outcomes from ambiguous requirements through design, implementation, integration, verification, and delivery.\n\nCollaborate across systems, hardware, AI, autonomy, product, and test teams to deliver integrated capability.\n\nRequired qualifications:\nDegree in Computer Science, Software Engineering, Electrical Engineering, Robotics, or a related discipline, or equivalent industry experience.\n\nStrong commercial experience developing modern C++ software for Linux.\n\nDemonstrated experience developing user-space applications that interface with cameras, sensors, networking, GPUs, storage, or other hardware through operating system APIs, middleware, or vendor SDKs.\n\nPractical experience developing and debugging software on Linux.\n\nExperience 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.\n\nStrong software engineering fundamentals including concurrency, interfaces, memory management, data structures, algorithms, testing, and version control.\n\nProven ability to diagnose complex issues across software, Linux, networking, timing, hardware integration, and deployment boundaries.\n\nExperience owning technical work from incomplete requirements through design, implementation, integration, verification, and delivery.\n\nExcellent collaboration skills across multidisciplinary engineering teams.\n\nPreferred qualifications:\nWe do not expect candidates to have all of the following. Experience in any of these areas will help you stand out.\nRuntime-critical, multi-threaded, or performance-sensitive C++ software.\n\nHigh-throughput imaging or sensor processing pipelines, including camera integration, ISP tuning, GStreamer, FFmpeg, OpenCV, or similar technologies.\n\nHardware-accelerated processing on edge compute platforms including NVIDIA Jetson, Qualcomm Snapdragon, CUDA, GPU compute, embedded AI accelerators, or accelerated video processing.\n\nIntegration of RGB, NIR, and thermal cameras, GPS, IMU, GPUs, or comparable peripheral hardware.\n\nRobotics, aerospace, defence, autonomy, unmanned systems, automotive, or other mission-critical domains.\n\nSystems architecture, interface design, software decomposition, reliability, maintainability, and testability.\n\nLow-level Linux, vendor SDKs, driver-adjacent debugging, NixOS, edge AI inference, containerisation, or deployment tooling.\n\nAutomated testing, simulation, software-in-the-loop, hardware-in-the-loop, CI/CD, or deployment infrastructure.\n\nAdditional Experience for Staff Level Engineers:\nWhile we hire across multiple experience levels, successful Staff Engineer candidates will typically demonstrate several of the following:\nExperience defining architecture for large or technically complex software systems.\n\nA track record of influencing technical direction across multiple teams or products.\n\nProven technical leadership through influence rather than organisational authority.\n\nExperience mentoring senior engineers and helping grow engineering capability across an organisation.\n\nOwnership of long-term technical strategy alongside day-to-day software delivery.\n\nStrong judgement when balancing performance, reliability, maintainability, scalability, and delivery.\n\nExperience establishing engineering standards, reusable frameworks, or software platforms adopted by multiple 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