hil jobs in San Diego

Shield AI seeks a Senior Engineer to design, develop, and integrate safety-critical Run-Time Assurance (RTA) software for autonomous aircraft and platforms. The role focuses on C++ development of real-time safety capabilities, hardware-in-the-loop integration, and flight-test support for the X-BAT collaborative combat aircraft.…See more Responsibilities include adapting reusable safety components into production systems, implementing real-time code at autonomy/flight-control boundaries, and strengthening engineering evidence through CI, static analysis, and rigorous testing. Requires 5+ years of embedded/autonomy/aerospace software experience, strong modern C++ and Linux skills, and familiarity with safety-critical development practices.

Senior Software Test and Automation Engineer responsible for designing and developing automated test infrastructure, validation tooling, and CI/CD integration for autonomy software systems. The role involves building Python-based test frameworks, regression and integration test suites, and performance analysis tools across simulation, SIL, HIL, and hardware environments.…See more Requires 4–7 years of experience in software test automation for robotics, autonomy, or aerospace systems, with strong proficiency in Python, Linux, and CI/CD practices. The engineer will collaborate with autonomy, systems engineering, and flight test teams to define validation strategies and provide objective software quality metrics.

Lead a software test and automation team responsible for aircraft software integration and release testing. Own test planning, coverage criteria, and defect disposition while driving end-to-end integration testing across SIL, HIL, VIL, and flight-representative environments.…See more Scale test automation infrastructure to increase coverage and reduce manual effort, identify capability gaps, and partner cross-functionally with autonomy, embedded software, controls, and flight-test teams. Requires 8+ years in software/systems/test engineering, 3+ years leading teams, and strong fundamentals in test planning, automation, and debugging across software, hardware, and system boundaries.

Staff Engineer responsible for building and integrating core platform infrastructure for autonomous systems across SIL, HIL, VIL, and edge deployment workflows. The role involves developing reference implementations, platform tooling, and developer infrastructure while integrating hardware, sensors, controllers, and APIs.…See more Requires 5+ years of software engineering in robotics, autonomy, or embedded systems; strong C++ and Python skills; and hands-on experience debugging across Linux systems, hardware interfaces, and embedded communication using diagnostic tools.

Staff Engineer responsible for platform integration across simulation (SIL/HIL/VIL) and edge deployment workflows for autonomous systems. Will own reference implementations, developer tooling, and orchestration frameworks while integrating hardware, sensors, controllers, and APIs across Linux-based systems.…See more Requires 5+ years in robotics, autonomy, or embedded systems with strong C++ and Python skills, plus hands-on experience debugging embedded interfaces using oscilloscopes and protocol analyzers. Will partner cross-functionally to improve platform stability, scalability, and developer experience for mission-critical products.

Senior Software Integration Engineer responsible for integrating Shield AI's Hivemind autonomy platform onto vehicle systems, from interface design through SIL/HIL/VIL testing to operational deployment. Leads cross-disciplinary integration of autonomy, autopilots, sensors, payloads, mission computers, and communications systems on expeditionary platforms.…See more Develops reusable onboarding frameworks, middleware configurations, and deployment pipelines while debugging across hardware, embedded software, networking, and autonomy layers. Requires 4–7 years integrating complex robotics or aerospace systems, proficiency in C++ and Python, Linux development expertise, RTOS familiarity, and hands-on field-test experience.

Own CI, build, and release infrastructure for AI software products (ONNX Runtime, ExecuTorch, TFLite/LiteRT delegates) across Linux, Windows, and Android. Design and evolve multi-platform CI pipelines, implement HIL and on-device automated testing for Snapdragon SoC validation, and drive end-to-end release pipelines with versioning, artifact packaging, and distribution.…See more Define automated quality gates including regression benchmarks and performance thresholds. Requires 8+ years of software/DevOps/release engineering experience (or 6+ with a Master's), expert Python and Bash scripting, deep CI/CD platform expertise (Jenkins, GitLab CI, GitHub Actions, TeamCity), and hands-on experience integrating AI coding agents into workflows.

Senior Software QA Engineer responsible for validating Firestorm's avionics platform—embedded Linux and RTOS flight computers, drivers, middleware, and safety-critical interfaces. Will design and execute risk-based test strategies (feature, exploratory, regression, acceptance) across HIL/SIL rigs, build Python-driven automation for serial/CAN/Ethernet I/O and fault injection, and instrument diagnostics to isolate timing and state issues before Flight Test.…See more Expected to own system testing end-to-end, validate robustness under degraded conditions (jitter, packet loss, brownouts, watchdog resets), and collaborate with avionics, autonomy, radio, and payload teams to harden reliability on aircraft.

Senior Software QA Engineer to own system testing for Firestorm's avionics platform—embedded Linux and RTOS flight computers, board support packages, device drivers, and safety-critical data paths. You will design and execute risk-based test strategies (feature/bring-up, exploratory, regression, acceptance) and build automation across HIL/SIL rigs exercising real buses (CAN/CAN-FD, UART, SPI, I²C, Ethernet) and links (MAVLink, Tactical Data Links) under fault conditions.…See more You will instrument diagnostics, triage defects, and harden robustness for timing, jitter, packet loss, brownouts, and recovery paths before Flight Test. This is a full-time onsite role in San Diego requiring hands-on bench work with flight computers, power systems, radios, and sensors.