Top Engineering Jobs in London

Lead design and delivery of tactical autonomy and motion-planning software for unmanned platforms. Architect, implement, verify, and sustain multi-agent behaviors (coordination, targeting, reconnaissance, survivability), integrate with vehicle subsystems, mentor teams, manage product roadmaps, and collaborate with integration and operational stakeholders to field safe, reusable autonomy capabilities.

Develop, integrate, debug, and maintain autonomy software for unmanned aircraft using C++ and Python. Integrate software with hardware, radios, sensors, and flight controllers; support SIL/HIL/VIL, lab and live flight testing; operate ground control systems; analyze flight data; troubleshoot field issues; and produce test and deployment documentation.

Integrate autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, and support certification and continuous improvement for mission deployments.

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software, capture and analyze flight data, collaborate with autonomy/GNC/test teams, and support certification and continuous improvement for reliable autonomous operations.

Lead simulation-driven testing and automation for Hivemind autonomy software: develop automated regression/integration/system tests, build simulation-based test frameworks (SIL/HIL/VIL), create Python tools for test automation and data analysis, integrate testing into CI/CD, and collaborate with engineering teams to diagnose and fix issues while maintaining test documentation and metrics.

Lead design and delivery of tactical autonomy and motion-planning software for unmanned platforms. Architect, implement, test, and sustain multi-agent behaviors, integrate with sensors and vehicle systems, and drive product-line reuse and cross-team collaboration throughout the software lifecycle.

Lead and develop a team of Forward Deployed Engineers to execute customer onboarding, on-site deployments, troubleshooting, and sustained adoption of the Hivemind SDK. Drive field feedback into product, translate mission goals into technical milestones, and partner with engineering and product teams to improve deployment readiness and customer outcomes.

Lead system architecture and technical teams to integrate Hivemind autonomy across Group 2–5 UAS. Define technical objectives, manage requirements and ICDs, ensure high-reliability software delivery for IRAD and defense contracts, provide customer-facing leadership, and contribute to government proposals.

Provide technical expertise to deploy and integrate Shield AI's Hivemind autonomy software at customer sites. Develop AI/autonomy applications using the Hivemind SDK, troubleshoot API/software integration, deliver technical training, create documentation and training materials, collaborate with product and engineering teams on customer feedback, support sales with technical queries, and travel to customer sites (~30%).