paycor
Robotics Engineer
DZYNE Technologies LLC.
Irvine, USA
Full-time
Mid Level
Onsite
USD 100000-125000 yearly
Discovered 1 weeks ago
Free
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- Develop, modify, and maintain flight controller control logic, supporting new payload capabilities, vehicle behavior updates, and mission-specific requirements while ensuring system stability, robustness and compliance with flight safety standards.
- Execute flight simulation and bench-level validation prior to flight testing, using software-in-the-loop (SIL), hardware-in-the-loop (HIL), or other environments to verify control logic, payload interactions, and system behavior before live operations.
- Integrate payloads with an existing UAV platform including electrical power and signal interfaces, and software/firmware integration, ensuring compatibility with vehicle constraints, flight control systems, and safety requirements.
- Provide on-site support for flight test operations, working closely with the flight test team during ground and flight events to troubleshoot issues, monitor system performance, and rapidly assess anomalies or unexpected behavior.
- Analyze post-flight logs and test data, identifying performance trends, control issues, integration defects, and opportunities for system improvement; document findings and feed results back into design and software updates.
- Manage software configurations across development, test, and flight environments, including version control, build management, and release coordination to ensure traceability, reproducibility, and safe deployment of flight critical software.
- 3+ years of industry experience in robotics, UAVs, or related fields.
- Strong programming skills in C++ and Python for robotics applications.
- Strong experience with software configuration management disciplines
- Hands-on experience building Autonomous / Robotics systems.
- Experience developing and tuning GNC algorithms (PID, MPC, EKF/UKF for state estimation)
- Proven ability to conduct software-in-the-loop (SIL), hardware-in-the-loop (HIL), and real-world tests
- Master’s degree in Robotics, Aerospace, or related field.
- Familiarity and working knowledge of integrating navigation systems (GPS, IMU, INS, VIO, etc.) into an airborne system
- Familiarity with telemetry systems for airborne systems.
- Familiarity with machine learning for robotics applications.
- Experience with CAD (SolidWorks, Fusion 360) and electrical design tools (Altium).
- Hands-on experience with UAVs and autopilot systems (PX4, Ardupilot)
- Proficiency with software development workflows (Git, CI/CD).
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