Remote Command Control Jobs in Santa Ana, CA (NOW HIRING)

Job Overview

The Systems Engineering team is seeking a versatile Systems Engineer to own the end-to-end definition, integration, and architecture of ADAS features, teleoperation systems for remotely operated military/tactical vehicles, and core Electric Vehicle (EV) platform architectures.

In this role, you will bridge the gap between autonomous perception, remote command teleoperation, and high-voltage EV powertrains. You will lead the systems engineering lifecycle from defining customer use cases and sensor/communication architectures to managing Functional Safety (ISO 26262), cybersecurity, and vehicle-level validation across all Harbinger platforms.

What you will do:

• Architect Teleoperation & Control Pipelines: Design low-latency teleoperation pipelines, video streaming architectures, and Operator Control Unit (OCU) interfaces for remotely operated and dual-use vehicles.
• Design Safe Fallback Modes: Define fail-safe and fail-operational fallback behaviors during signal degradation, electronic countermeasures, or high-latency events, embedding core Functional Safety and cybersecurity controls.
• Decompose Vehicle Requirements: Translate vehicle-level use cases and ADAS feature goals into clear system, component, and interface requirements using our requirement management platform (Flow Engineering).
• Lead Validation & Track Testing: Define the DVP&R and oversee validation across SIL, HIL, and proving ground track testing to optimize system stability, link reliability, and feature calibration.

Who you are:

• 5+ years of systems engineering experience in autonomous vehicles (AVs), robotics, Unmanned Ground Vehicles (UGVs), or EV/automotive vehicle platforms.
• Hands-on background architecting or integrating low-latency teleoperation pipelines, real-time video/telemetry streaming, or Operator Control Unit (OCU) interfaces.
• Knowledge of vehicle safety standards (e.g., ISO 26262, MIL-STD-882, or UL 4600) and experience designing safe fallback modes for degraded RF, cellular, or high-latency links.
• Experience with control logic modeling (MATLAB/Simulink, C++, or ROS/ROS2), vehicle network protocols (CAN/Ethernet), and requirement management platforms.
• Bachelor's degree in Systems, Robotics, Electrical, Mechanical, or Computer Engineering (or equivalent practical experience).