Top Engineering Jobs in Los Angeles, CA

Design and develop high-performance electrical, computing, sensing, communication, and power systems for fixed-wing aircraft. Lead and contribute to multiple product design cycles involving electrical, mechanical, logic, and software engineering. Ship reliable, high-quality products while navigating development challenges, meeting deadlines, and improving hardware development efficiency, quality, and aircraft reliability.

Develop guidance, navigation, and control algorithms for advanced aircraft in a blue-sky defense project. Responsibilities include vehicle dynamics modeling, flight-control design, simulation, real-world control-system tuning and optimization, and applying modern control theory. The role requires strong aircraft dynamics and handling-qualities expertise, production C++ experience, and MATLAB/Simulink proficiency. Candidates must be able to obtain a Secret clearance and collaborate effectively in a fast-moving engineering environment.

Design, analyze, integrate, test, and support mechanical systems for aerospace platforms across the full product lifecycle. Responsibilities include avionics packaging, harnessing, connector selection, structural design, CAD, engineering calculations, prototyping, production support, troubleshooting, and field operations. Collaborate with Manufacturing, Supply Chain, Quality, Program Management, and external suppliers to deliver reliable, buildable, and mission-ready hardware.

Lead design, development, integration, and validation of complex ground-system software. Define software architecture, derive and trace software requirements, participate in system reviews, collaborate with hardware/network/test teams, and support customer-facing technical deliverables.

Develop state estimation and navigation algorithms for autonomous systems operating in GPS-denied environments. Build production-grade C++ software for embedded Linux robotic platforms, create modeling and simulation tools, and implement comprehensive testing and validation. Collaborate on roadmap planning and agile execution while improving benchmarking and performance-analysis pipelines. The role requires professional C++ expertise, state estimation algorithm experience, sensor-fusion familiarity, and the ability to deploy reliable autonomy software.

Lead systems engineering for a next-generation unmanned aircraft system. Responsibilities include defining system architecture, behaviors, requirements, interfaces, fault responses, and traceability; integrating avionics, autonomy, propulsion, sensors, and mission systems; conducting MBSE modeling, trade studies, safety analyses, flight testing, and performance validation; and coordinating cross-functional teams, DoD stakeholders, and government partners through development and operational deployment.

Lead systems engineering for a next-generation autonomous UAS, including system architecture, requirements decomposition, behavior modeling, avionics and autonomy integration, safety analysis, trade studies, flight testing, and performance validation. Collaborate with hardware, software, propulsion, manufacturing, flight operations, DoD stakeholders, and government agencies to develop a mission-ready aircraft from clean sheet through first flight and deployment.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

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.

Integrate, characterize, calibrate, and validate multi-modal navigation sensors (IMUs, GNSS, cameras, altimeters). Develop test plans, calibration scripts, and data-processing tools; collaborate across electrical, mechanical, and software teams; support schematics, CAD, drivers, and lab-based sensor testing through production.