Top Engineering Jobs in Boston, MA

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 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.

Design and own avionics hardware for X-BAT through full lifecycle: concept, circuit and PCB design, integration, verification, environmental qualification, flight test, debugging, and manufacturing with mentorship from senior engineers.

Paid full-time co-op for rising 2027 graduates to work on autonomous aircraft hardware. Own a tailored project (PCB design, power electronics, avionics bring-up, testing/HALT), collaborate with senior engineers, and contribute to prototype development, validation, and reliability testing.

Design, implement, and deploy real-time state estimation and sensor-fusion algorithms for autonomous UAVs (IMU, GNSS, visual odometry, radar). Build robust sensor pipelines, conduct simulation/lab/field testing, optimize for constrained hardware, and collaborate across autonomy, software, and hardware teams to transition research into fielded navigation solutions.