Engineer, Autonomous Systems Integration (R6266)
About this role
Shield AI is hiring a Engineer, Autonomous Systems Integration (R6266), full-time, on-site in San Diego, California, in the DRONES sector.
Job Description:
Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and aircraft systems, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific.
Shield AI is seeking a senior, hands-on UxS Integration and Systems Expert to help ensure Hivemind can be developed, tested, demonstrated, and supported on representative unmanned systems with confidence. This role sits at the intersection of autonomy software, unmanned aircraft and robotic systems, onboard compute, networking, radios, sensors, flight controllers, simulation, test operations, and customer-facing demonstrations.
This is a senior technical leadership role for someone who is both a builder and an operator. The right candidate can move comfortably from architecture discussions to benchtop integration, from lab troubleshooting to field execution, and from platform evaluation to clear recommendations for engineering, test, product, and operations leaders.
You will serve as a trusted systems-integration authority for Hivemind test and demonstration hardware. You will help teams select and prepare representative platforms, understand integration tradeoffs, improve test readiness, diagnose cross-disciplinary issues, and translate lessons from real hardware into better engineering, test, and operational practice. The role requires strong judgment, calm execution under pressure, and the ability to bring structure to ambiguous technical environments without overfitting to a single platform or workflow.
What you'll do:
- Serve as a senior technical focal point for Hivemind integration and test readiness across unmanned aircraft, robotic systems, representative test vehicles, onboard compute, radios, sensors, payloads, and supporting ground equipment.
- Lead hands-on integration and troubleshooting efforts that span autonomy software, hardware, flight controllers, communications systems, networking, operator interfaces, and field operations.
- Partner with engineering, test, product, operations, field, and customer-facing teams to evaluate new platforms and determine how they can best support Hivemind development, validation, training, demonstrations, and customer objectives.
- Help take systems from early concept or benchtop integration through representative test, field execution, and operationally relevant demonstrations.
- Provide senior-level technical judgment on platform suitability, integration complexity, test readiness, risk, safety, maintainability, cost, availability, and customer value.
- Support test planning and execution across simulated, hardware-in-the-loop, live-vehicle, and flight-test environments while keeping the role focused on practical system readiness and evidence quality.
- Help define clear readiness criteria, test expectations, operating assumptions, and handoff points for representative hardware used by Hivemind teams.
- Diagnose complex cross-disciplinary issues and help route them effectively across software, autonomy, hardware, flight-test, networking, and operations stakeholders.
- Contribute to test methods, metrics, and evidence practices that improve confidence in Hivemind behavior across representative and real-world environments.
- Support automation, tooling, and data-review practices that improve repeatability, reduce manual burden, and make hardware-based testing easier to operate at scale.
- Capture and share practical knowledge from platform bring-up, test events, flight operations, and customer-facing demonstrations so teams can reuse lessons learned.
- Mentor engineers and operators on systems integration, hardware readiness, field troubleshooting, test discipline, and practical autonomy test execution.
Projects you might work on:
- Evaluating a new unmanned aircraft, ground robot, customer-selected platform, or lab setup for suitability as a Hivemind development, test, training, or demonstration asset.
- Leading technical preparation for a Hivemind test event or customer demonstration that depends on representative hardware, onboard compute, communications, sensors, and operator workflows.
- Advising a program team on the right level of platform fidelity needed for a pilot effort, internal test campaign, or customer-facing technical engagement.
- Supporting integration between Hivemind and flight-control systems, onboard compute, sensors, payloads, radios, ground-control equipment, or simulation environments.
- Helping a test team define practical readiness criteria, test coverage, data-review expectations, and evidence standards for hardware-based autonomy validation.
- Working with engineering and operations leaders to turn lessons from field or lab execution into reusable guidance, training, and better test practices.
Required qualifications:
- 10+ years of experience in UxS or UAS systems integration, robotics hardware integration, autonomy test operations, flight test, field engineering, embedded systems, or similar hands-on technical roles.
- Demonstrated experience leading complex integration efforts across hardware, software, autonomy, networking, communications, sensors, and operational test environments.
- Strong practical experience bringing up, configuring, operating, and troubleshooting unmanned systems, onboard compute, flight controllers, radios, sensors, ground stations, and supporting test equipment.
- Working knowledge of Linux, embedded systems, networking, system configuration, data collection, logs, services, and field diagnostics.
- Experience with unmanned-systems autopilot or flight-control ecosystems such as PX4, ArduPilot, MAVLink, Pixhawk/Cube-class flight controllers, QGroundControl, Mission Planner, or equivalent systems.
- Experience supporting testing across simulation, hardware-in-the-loop, live-vehicle, field, or flight-test environments.
- Ability to develop and communicate test plans, readiness criteria, operating assumptions, technical recommendations, and post-test findings for cross-functional audiences.
- Strong analytical, problem-solving, and debugging skills across ambiguous, cross-disciplinary technical issues.
- Ability to lead through influence across engineering, test, product, operations, field, and customer-facing teams.
- Familiarity with scripting, automation, or data-analysis workflows using Python, Bash, MATLAB, or similar tools.
- Strong ownership, urgency, and judgment in fast-moving environments where requirements, platforms, and constraints may evolve quickly.
- Ability to comply with export-control, safety, security, customer-site, and mission-specific operating requirements.
- Ability to obtain and maintain a Secret security clearance; U.S. citizenship required.
Preferred qualifications:
- Experience with Hivemind, autonomy SDKs, autonomous aircraft systems, robotics middleware, simulation infrastructure, or edge-deployed autonomy software.
Description from Shield AI's official posting. Always confirm details on the company careers page.
About Shield AI
Shield AI
Company in the mobility sector tracked nightly on the Mobility Jobs board.
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About Larry Sherwood Jr.
Talent Acquisition Leader specializing in mobility, EV, and frontier tech. 1,000+ hires across roles ranging from production technicians to VPs, including 48 hires for the AFEELA U.S. launch at Sony Honda Mobility (98% offer acceptance, $1.5M+ agency savings). SHRM-CP certified. Build recruiting functions from scratch, no agencies.
Currently open to senior TA leadership roles in the United States. larrysherwoodjr.com · Resume (PDF)
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