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Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Paid, full-time electrical engineering co-op supporting autonomous aircraft hardware development. Responsibilities may include circuit board design, power electronics simulation and verification, avionics bring-up, debugging, automated test-rack development, and HALT reliability testing. The co-op owns a project with mentorship from a senior engineer and collaborates with cross-functional engineering teams.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Electrical Engineering Interns will gather requirements, design, and validate avionics assemblies and test fixtures. They will work across power electronics, communications, RF, and related disciplines; build test stands involving relays, PLCs, PCBAs, and harnesses; use Python for test automation, analysis, and simulations; and participate in cross-functional design reviews. The internship is a 10–12-week paid program for students pursuing Electrical Engineering or a related STEM degree.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead development and technical delivery of maritime autonomy capabilities for USVs, UUVs, and cooperating UAVs. Design motion planning, localization, tracking, safety assurance, COLREGS-compliant behaviors, and heterogeneous multi-agent collaboration. Build high-performance, well-tested software, integrate it onto real platforms, support deployment and demonstrations, analyze mission logs, and contribute to R&D roadmaps. Collaborate across perception, planning, simulation, hardware, and operational test teams while helping customers define requirements and technical approaches.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead technical direction for maritime autonomy capabilities across multiple programs. Develop motion planning, localization, tracking, safe maritime behaviors, COLREGS-compliant operations, and heterogeneous multi-agent collaboration for USVs, UUVs, and UAVs. Build and integrate high-performance, rigorously tested software; support deployment, vehicle testing, demonstrations, and mission-log analysis. Mentor engineers, guide architecture and roadmaps, research new algorithms, and collaborate across perception, planning, simulation, hardware, and operational test teams. Travel is typically about 25%.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop and deploy autonomy software for unmanned surface, underwater, and aerial vehicles in maritime missions. Responsibilities include motion planning, localization and tracking, safety assurance, COLREGS adherence, multi-agent coordination, distributed optimization, rigorous software testing, platform integration, deployment support, mission-log analysis, and autonomy R&D. The role also involves cross-functional collaboration, customer and demonstration support, roadmap development, and mentoring junior engineers. Travel is typically approximately 25% annually.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
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.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
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.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
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.
18 Days AgoSaved
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead battery system architecture, design, qualification, integration, and production for X-BAT, launch/recovery vehicles, and ground equipment. Deploy high-voltage, high-power battery systems, build team and lab, perform verification, debug complex electrical and environmental issues, and provide mentorship and program leadership.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop and test autonomy behaviors for unmanned systems using production C++. Implement features for behavior, coordination, motion planning, and survivability. Participate in full software lifecycle, integrate with sensors/actuators, support simulation and real-world testing, collaborate cross-functionally, and travel up to 20% to support integration and testing. Must be eligible for a U.S. Secret clearance.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Develop, integrate, and field autonomy software for unmanned platforms; lead a small technical team through design-to-deployment; author ICDs; perform hardware/software debugging, system bring-up, simulation testing, and mission support; mentor engineers and coordinate with internal teams and external integrators. Travel ~10-20%.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, collect and analyze flight data, collaborate across autonomy, GNC, and test teams, and support certification, compliance, and process improvements.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Support avionics electrical engineering for the X-BAT across design, verification, procurement, manufacturing, and test. Perform benchtop testing with multimeter, oscilloscope, electronic load, and thermal chamber; design basic test fixtures, wire harnesses, and simple PCBs; rework boards to 0402; read and interpret schematics; collaborate on multidisciplinary hardware projects and drive project ownership and delivery.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design and delivery of flight-critical power electronics for the X-BAT aircraft, including inverters, DC-DC converters, and battery management. Own full hardware development cycle, drive PCB layout, harden designs for harsh environments, mentor engineers, lead reviews, and manage program timelines through production.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
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.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
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.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Entry-level electrical engineer owning a design for X-BAT avionics through concept, design, verification, integration, flight test, and manufacturing. Work includes circuit design (analog, digital, power conversion, high-speed, FPGA, MCU), system integration, environmental qualification, EMI/EMC considerations, debugging, and designing for radiation, temperature extremes, vibration, and high reliability.
