Jobs at Shield AI

Develop, integrate, and field autonomy software for expeditionary unmanned aircraft (V-BAT/X-BAT). Own features from software-in-the-loop to live flight tests, collaborate with aircraft and perception teams, lead technical integration, support field deployments and mission testing, and troubleshoot hardware/software issues.

Develop, integrate, and field autonomy capabilities for novel platforms (space, maritime, unmanned helicopters). Own end-to-end integration from software- and hardware-in-the-loop to live tests, partner with platform and cross-functional teams, support on-site testing, debug hardware/software issues, document designs, and improve integration and testing processes.

Lead technical strategy and engineering for autonomy on new platforms (space, maritime, contested logistics). Define architecture, guide development and integration, mentor senior engineers, support testing and deployments, resolve complex hardware/software integration issues, and transition R&D into operational programs.

Develop, integrate, and field autonomy software for launched effects platforms, owning features from design through live flight testing. Drive technical execution, collaborate with autonomy, perception, and vendor teams, support system bring-up and field operations, and implement C2 interoperability and deployment processes. Travel to tests and customer exercises to support mission execution and debugging.

Lead technical delivery and integration of autonomy software for launched effects, including autopilot integration, multi-agent coordination, and fleet-scale deployments. Collaborate with autonomy, perception, vendors, and customers; lead design, testing, debugging, mission support, documentation, and pre-deployment readiness for disconnected or air-gapped operational environments.

Lead technical delivery and integration of autonomy software for V-BAT and X-BAT, defining flight-autonomy interfaces, integrating payloads and mission autonomy, coordinating cross-team engineering, ensuring mission readiness, supporting flight tests and deployments, mentoring engineers, and improving integration workflows and testing infrastructure.

Lead technical direction and integration for launched-effects autonomy across platforms. Develop and field mission autonomy, multi-agent coordination, and platform interfaces; drive architecture, standards, testing, deployments, and mentor senior engineers while supporting flight tests and operational customers.

Lead technical delivery and integration of autonomy software for new platforms (air, maritime, space). Own end-to-end development, testing, and fielding of autonomy features, mentor teams, drive architecture and ICDs, support live tests, and transition R&D into operational capabilities.

Lead technical direction and architecture for expeditionary autonomy across V-BAT and X-BAT. Drive development, integration, validation, and fielding of mission autonomy, flight-autonomy interfaces, payloads, and multi-agent capabilities. Mentor senior engineers, influence cross-team engineering standards, support deployments and operational readiness, and define long-term strategy and interoperability for defense customers.

Lead technical strategy and implementation of V-BAT fleet data analysis pipelines and tooling. Transform raw flight, simulation, and production data into metrics, dashboards, and reports; perform fleet-wide studies, anomaly investigations, and root-cause analysis; partner with cross-functional teams and mentor engineers on analysis best practices.

Lead development of autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO and motion planning. Build high-performance, well-tested software, integrate on real vehicles, support deployments and testing, and research/roadmap advanced autonomy techniques for defense applications.

Lead development of space autonomy capabilities including distributed optimization, tasking/scheduling, track fusion, rendezvous/RPO, and motion/behavior planning. Build high-performance, testable software, integrate and validate on real platforms, support deployments, and mentor engineers while contributing R&D and roadmaps.

Design, implement, and deploy autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO, and motion/behavior planning. Build high-performance, well-tested software modules, collaborate across perception, planning, simulation, hardware, and flight test teams, support deployments and mission log analysis, and contribute R&D and roadmaps to advance autonomy for satellites and missile defense.

Lead design, training, fine-tuning, evaluation, and deployment of vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, and evaluation frameworks. Optimize models for embedded hardware (ONNX, TensorRT), collaborate cross-functionally, translate research to production, and mentor engineers.

Design, train, fine-tune, evaluate, and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware using ONNX and TensorRT. Collaborate with cross-functional teams to translate research into robust, production-ready perception capabilities for defense platforms.

Design, train, fine-tune, evaluate, and deploy vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware (ONNX, TensorRT). Collaborate with researchers and engineers to translate ML research into robust, production-ready perception capabilities for defense platforms.

Lead and manage a perception engineering team developing production-quality C++ perception and state-estimation software (A-PNT) for GNSS-degraded environments. Integrate and test sensor fusion, computer vision, and estimator frameworks on aerial platforms, validate with simulation and real data, and collaborate with hardware, test, and cross-functional teams.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Develop and implement real-time sensor processing and multi-sensor state estimation algorithms (IMU, radar, cameras, GPS). Design pipelines, run field tests, integrate with cross-functional teams, and optimize for production on compute-constrained systems.

Lead survivability engineering for autonomous aircraft: design and optimize low-observable features, perform electromagnetic signature modeling and RCS simulations, lead RCS testing and validation, integrate RAM and LO coatings with multidisciplinary teams, translate mission threats into survivability features, and support customer/internal threat assessments throughout program lifecycle.