ZipRecruiter

Log In

2

Remote Autonomous Systems Engineer Jobs in Corona, CA

FieldAI

Principal Robotics Engineer

Irvine, CA · On-site +1

$210K - $240K/yr

Demonstrated experience architecting large-scale autonomy systems across two or more of: perception ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

FieldAI

Principal Robotics Engineer

Irvine, CA · Remote

$210K - $240K/yr

Demonstrated experience architecting large-scale autonomy systems across two or more of: perception ... Our teams span AI, software, robotics engineering, product, field deployment, and technical ...

New

next page

Showing results 1-20

All JobsAutonomous Systems Engineer JobsRemote Autonomous Systems Engineer JobsRemote Autonomous Systems Engineer Jobs in Corona, CA

Remote Autonomous Systems Engineer information

See Corona, CA salary details

$55.2K

$131.3K

$172.3K

How much do remote autonomous systems engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote autonomous systems engineer in Corona, CA is $131,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $162,000.00 per year, depending on experience, location, and employer.

What is a remote autonomous systems engineer?

Remote Autonomous Systems Engineers are professionals who design, develop, and maintain autonomous systems—such as drones, robots, or vehicles—while working remotely. They use advanced software, sensors, and algorithms to ensure these systems can operate independently and safely. Their work involves tasks like programming control systems, integrating hardware components, and troubleshooting issues from a remote location. These engineers often collaborate with teams virtually and leverage cloud-based tools to monitor and update autonomous systems deployed in various environments.

What are the key skills and qualifications needed to thrive as a remote autonomous systems engineer?

To thrive as a Remote Autonomous Systems Engineer, you need a strong background in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Experience with simulation tools like ROS (Robot Operating System), MATLAB, and familiarity with machine learning or AI frameworks are typically required, along with certifications in automation or robotics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills and qualities are essential for designing, troubleshooting, and improving autonomous systems while collaborating efficiently within distributed teams.

What are some common challenges faced by remote autonomous systems engineers, and how can they be addressed?

Remote Autonomous Systems Engineers often encounter challenges related to communication and collaboration, as they work with multidisciplinary teams across different locations and time zones. Managing system integration and troubleshooting without on-site access can also pose difficulties, requiring strong documentation and remote diagnostic tools. Staying updated on rapidly evolving technologies in autonomy further demands ongoing learning. To address these challenges, engineers should leverage clear communication channels, utilize collaborative platforms, and participate in continuous training opportunities.

What job categories do people searching Remote Autonomous Systems Engineer jobs in Corona, CA look for?

The top searched job categories for Remote Autonomous Systems Engineer jobs in Corona, CA are:

What cities near Corona, CA are hiring for Remote Autonomous Systems Engineer jobs?

Cities near Corona, CA with the most Remote Autonomous Systems Engineer job openings:

Remote Autonomous Systems Engineer jobs near you

Systems Engineer, Teleoperations & Remote Drive

Harbinger Motors Inc.

Garden Grove, CA • On-site, Remote

Full-time

Posted 17 days ago

Job description

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).

Apply