Jobs at Applied Industrial Technologies

Designs, integrates, and tests guidance, navigation, and control software for autonomous aerial UAS platforms. Develops C++ autonomy algorithms, control systems, path planning, and 3DoF/6DoF vehicle models; performs simulation, flight testing, data analysis, and deployment onto OEM hardware. Collaborates with vendors and cross-functional teams to create reusable autonomy capabilities for defense missions.

Provides technical pre-sales and post-sale support for maritime autonomy solutions across EMEA. Acts as a bridge between defense customers and engineering teams, scopes technical solutions, leads architecture reviews and demonstrations, supports deployments, and onboards customer engineering teams to a code-first toolchain. The role requires maritime-sector experience, customer-facing software and vehicle-systems expertise, programming skills, and UK security clearance or eligibility.

Support pre-sales and customer adoption for Applied Intuition’s Air portfolio across UK and European defense customers. Serve as the technical bridge between customers and internal engineering and product teams, leading architecture reviews, technical discussions, demonstrations, deployments, and SDK integrations. Help customer engineering teams adopt the developer toolchain and integrate it with existing infrastructure.

Provide technical pre-sales and post-sale support for defense customers adopting autonomous systems. Act as the liaison between customers and engineering teams, lead architecture reviews, demonstrations, deployments, and customer engagements, and onboard engineering teams to Applied Intuition’s SDK and products. The role requires customer-facing technical consulting, software and vehicle systems knowledge, project management, programming skills, and UK security clearance or eligibility.

Build and ship production full-stack web applications for defense and autonomy products. Own features end to end across interfaces, APIs, services, and data; establish front-end foundations and design systems; collaborate with designers and product managers; integrate field learnings into core products; and engineer secure, containerized software for demanding customer environments.

Leads UK-hosted cloud infrastructure design and deployment across cloud, on-premise, air-gapped, and secure environments. Builds infrastructure as code, manages Kubernetes and CI/CD systems, hosts approved AI models, improves developer tooling, supports Hardware in the Loop integration, and troubleshoots distributed systems. Partners with product managers, customers, and global infrastructure teams to deliver secure technical solutions for defense and national security programs.

Design, implement, integrate, and validate autonomy and mission behavior for robotic platforms. Deploy software onto embedded Linux hardware, run SIL/HIL tests, support live UAV flight tests, troubleshoot integration issues, and collaborate with cross-functional teams and third-party vendors to deliver modular autonomy solutions for defense customers.

Design, develop, test, and deploy high-performance modern C++ software and libraries. Work with product managers and customers to translate requirements, contribute to CI/CD, build automation, and containerized deployments, and occasionally travel to customer sites and offices to integrate and validate systems.

Design, implement, integrate, and deploy autonomy software for defense robotic platforms. Lead architecture and technical decisions, mentor engineers, perform SIL/HIL testing, support live UAV flight tests, interface with sensors and autopilots, and troubleshoot complex integration and real-time edge systems.

Lead design, develop, test, and deploy production-grade C++ software for autonomy and defence customers. Integrate customer software, mentor junior engineers, and travel to customer sites and offices.

Deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products with defense and government customers. Perform software engineering, OS configuration, system deployment, and hardware integration. Design scalable engagement and architecture patterns, collaborate with product and engineering teams, and drive technical outcomes in challenging operational environments.

Define system requirements and architectures, integrate and deploy autonomy and perception software onto vehicles, lead systems engineering artifacts, perform hands-on field testing and validation, enable inter-vehicle communications, use simulation for validation, and collaborate across software, perception, and field teams to ensure robust, safe deployments.

Design and implement single- and multi-target detection, tracking, and decentralised multi-agent sensor-fusion and state-estimation algorithms for unmanned autonomous systems; productionize algorithms into robust deployable software and collaborate with cross-functional teams.

Lead design, development, and verification of autonomy solutions for defense: write perception and planning algorithms, prototype and deploy ML models, optimize performance, build system architectures, collaborate cross-functionally, mentor junior engineers, and test/debug with attention to documentation and emerging AI techniques.