Jobs at Applied Industrial Technologies

Design, develop, and integrate real-time sensor fusion and perception algorithms across heterogeneous platforms and sensors. Deploy ML models to embedded Linux devices, collaborate with autonomy and tracking teams, support DoD field tests, and iterate via simulation and post-processing to improve system integration and performance.

Leads the technical direction of safety-critical controls systems for autonomous heavy equipment, spanning actuator control, vehicle characterization, lateral and longitudinal trajectory tracking, calibration, and fleet deployment. Designs and implements controllers, develops scalable workflows, evaluates nonlinear optimization techniques, mentors controls engineers, sets technical priorities, and collaborates with customers during field deployments.

Develop and field autonomy software for unmanned aerial vehicles on embedded Linux and other edge platforms. Integrate software with autopilots, datalinks, sensors, navigation systems, and ground control stations; build messaging frameworks; perform system bring-up, SIL/HIL testing, live flight tests, troubleshooting, and customer demonstrations. Collaborate with autonomy engineers, defense customers, and UAS vendors to deploy reliable hardware-software solutions.

Design and run Applied Intuition's global onboarding program end-to-end: set strategy, build systems and content, facilitate company-wide orientations, partner with Recruiting, People Ops, IT and business leaders, tailor team-specific onboarding, resolve onboarding issues, and iterate using feedback to improve new-hire experience.

Lead end-to-end product for a multi-tenant enterprise AI platform (Dana), defining core capabilities, UX, and tradeoffs. Partner with engineering on architecture, ensure scale and reliability, work with customers on onboarding and security reviews, and ship features for builders from platform engineers to non-coders.

Conduct original research in humanoid robotics, dexterous manipulation, world-action foundation models, and reinforcement learning. Set the research agenda, develop manipulation policies, publish at leading robotics venues, and collaborate with research engineers and product teams to deploy methods on humanoid robots and dexterous hands. The role also involves shaping technical direction and helping grow the humanoid robotics research team.

Design, build, and automate hardware-in-the-loop test infrastructure for embedded firmware. Develop Python/Bash tooling, diagnose flaky CI integration tests, perform embedded bring-up and hardware/software debugging, and manage Linux-based lab infrastructure at scale.

Design and implement high-performance C++ backend systems for defense autonomy products. Build scalable, reliable infrastructure for multi-domain autonomous operations, partner with researchers and defense customers, own end-to-end execution from architecture to deployment, and help grow the Ann Arbor engineering site while meeting DoD operational requirements.

Provide commercial tech-transaction legal support: draft, structure, and negotiate complex agreements with OEMs and AV partners; advise leadership; collaborate cross-functionally; support IP, product, and compliance; build playbooks, forms, and legal operations to scale a small, fast-growing in-house legal team.

Designs, integrates, deploys, and troubleshoots autonomy software across embedded Linux platforms, UAV hardware, sensors, autopilots, datalinks, and ground control systems. Conducts software-in-the-loop, hardware-in-the-loop, system validation, and live flight testing for unmanned aircraft. Collaborates with autonomy engineers, defense customers, and UAS vendors to deliver reliable hardware-software integrations and customer demonstrations.

Designs and integrates robotic autonomy and vehicle intelligence systems across hardware and software. Responsibilities include deploying autonomy solutions on embedded Linux and UAV platforms, integrating autopilots, sensors, datalinks, and ground stations, troubleshooting system issues, conducting SIL/HIL testing, supporting live flight tests, and collaborating with vendors, autonomy engineers, and defense customers. Frequent travel supports on-site integration and demonstrations.

Build and deploy autonomy software for unmanned aerial vehicles, integrating embedded Linux systems with autopilots, datalinks, sensors, navigation systems, and ground control stations. Perform hardware-software integration, SIL/HIL testing, system bring-up, troubleshooting, field flight testing, and customer demonstrations. Collaborate with autonomy engineers, defense customers, and UAS vendors to deliver dependable vehicle intelligence capabilities.

Develop and deploy drone autonomy software on embedded platforms and real UAVs. Integrate autonomy stacks with autopilots, datalinks, sensors, navigation systems, and ground control stations. Perform hardware and software bring-up, SIL/HIL testing, live flight tests, troubleshooting, and customer demonstrations. Collaborate with autonomy engineers, defense customers, and UAS vendors to deliver reliable vehicle intelligence systems.

Design, integrate, and deploy autonomy software on UAV platforms across SIL/HIL and live tests. Interface with sensors, autopilots, datalinks, and embedded Linux systems; troubleshoot integrations; collaborate with vendors and DoD customers; support flight testing and demonstrations.

Lead hardware-software integration and validation for autonomous flight systems, architect HIL/SIL simulation and verification workflows, define system interfaces, build real-time monitoring tools, and serve as technical lead for bench-to-field bring-up and flight test campaigns.

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.

Own and maintain HD maps infrastructure across products. Define map storage formats and distribute map data for UIs, data pipelines, storage, and SDKs. Collaborate with engineers and customers to design and implement mapping and localization solutions.