Jobs at Applied Industrial Technologies

Design and communicate bespoke solution architectures and CONOPS for DoD pursuits; lead technical BD engagements, translate capabilities into mission narratives, drive systems integration feedback to product, and perform competitive technical analysis.

Build and maintain a data-oriented full-stack frontend platform for defense autonomy tooling, focusing on 2D/3D map rendering, mission planning, monitoring, and integration with simulators and real-time data pipelines. Collaborate with design and other teams to create intuitive, configurable UIs and strong test fixtures for defense customers.

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.

Build and optimize edge and cloud data pipelines for perception ML models. Scale data engine for high-fidelity labels, reduce annotation costs, integrate foundation models for automated labeling and QA, leverage software/hardware-in-the-loop testing, and support DoD field use cases and model deployment lifecycle.

Lead design and development of live-virtual-constructive (LVC) simulation integrations for multi-agent tactical AI. Build interfaces, scenarios, and adapters; use C++ and Python; integrate defense M&S tools and communication protocols; mentor engineers; contribute to CI/CD, testing, and security compliance.

Design and implement high-performance world and scene representation systems (ECS, spatial indexes, 4D objects), build mapping and geometry pipelines, write optimized C++ (C++20) for real-time multi-agent simulation, drive architecture and APIs, and mentor cross-domain teams.

Design and implement high-performance 4D world and scene representation systems for multi-agent simulation. Build spatial data structures, mapping and geometry pipelines, and low-latency C++ systems. Drive architecture, API design, cross-team integration, profiling and optimization, and mentor engineers to meet autonomy stack requirements across air, ground, and maritime domains.

Design and implement high-performance world and scene representation systems for multi-agent autonomy: spatial data structures, ECS frameworks, computational geometry pipelines, coordinate frame management, and real-time mapping. Optimize C++20 code for low latency, define clean APIs for cross-domain integration, collaborate with sensor/planning teams, and mentor engineers.

Design and implement high-performance world and scene representation systems for multi-agent simulations. Build spatial data structures, mapping and geometry pipelines, coordinate-frame management, and real-time updates. Write optimized C++ (C++20) for low-latency systems, define APIs for cross-domain integration, and collaborate with sensor, planning, and simulation teams while mentoring engineers.

Own end-to-end software releases and dependency/version management, build and maintain scalable CI/CD pipelines, manage artifact lifecycle in Artifactory, and develop the internal Release Management portal while coordinating with engineering and TPM teams to ensure release readiness.

Define system-, hardware-, and EE-level requirements from vehicle-level requirements for a strategic Vehicle OS product. Specify EE architectures for HIL benches and rigs, capture interfaces, own requirements verification and traceability in a model-based toolchain (Cameo, Polarion), and establish ASPICE/ISO 26262-aligned processes. Coordinate cross-functionally with hardware, embedded, perception, and test teams to ensure verification coverage.

Develop and deploy ML and classical perception systems for L4 autonomous trucks: design/train 3D detection models across LiDAR/camera/radar, build sensor-fusion and tracking pipelines, operate data engines, validate safety-critical capabilities through simulation and on-road validation.

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.

Lead hardware-software integration for flight-ready robotics systems, architect HIL/SIL simulation and verification workflows, define system interfaces across autopilots, onboard compute, and sensors, build real-time monitoring tools, and lead bench-to-flight bring-up and flight test campaigns to ensure robust, scalable autonomous systems.

Design, integrate, and deploy autonomy and vehicle intelligence across hardware and software for UAVs. Integrate sensors, autopilots, and datalinks on embedded Linux, conduct SIL/HIL and live flight tests, troubleshoot system issues, collaborate with vendors and DoD stakeholders, and support on-site demonstrations and data collection.

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.

Design, integrate, and deploy autonomy and vehicle intelligence systems on UAV platforms. Work spans hardware/software integration, sensor and autopilot interfacing, SIL/HIL testing, live flight tests, troubleshooting, and customer-facing demonstrations.

Design, develop, and integrate real-time sensor fusion and perception algorithms across heterogeneous platforms and sensors. Deploy ML models and containerized solutions to embedded Linux devices, support DoD field tests, perform computer-/hardware-in-the-loop testing, and collaborate with tracking and autonomy teams to deliver and document robust autonomy solutions.

Design and implement multi-agent optimization, planning, and constraint-satisfaction algorithms for real-time autonomous decision-making across heterogeneous domains. Build temporal logic frameworks, probabilistic decision-process models, and efficient, human-interpretable computational systems. Measure and optimize algorithm performance, develop in Bazel/Docker/Linux environments, and support demonstrations, integrations, and customer engagements.

Develop high-performance C++ core framework software enabling collaborative autonomy across air, ground, and maritime domains. Integrate with domain platforms, optimize real-time performance, automate tooling and testing, and collaborate with autonomy engineers, product teams, and customers. Role requires travel for integrations/demos and US citizenship with eligibility for a U.S. Secret clearance.