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Adas Remote Jobs in California (NOW HIRING)

General Motors

Senior Manager, Embodied AI

Sunnyvale, CA · On-site +1

$296K - $453K/yr

A background in Robotics or the AV/ADAS industry. * Direct experience leveraging LLMs/VLMs/etc. for ... Remote/Hybrid: This role is categorized as fully remote or hybrid. Compensation: The compensation ...

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Adas Remote information

What is an Adas Remote?

An ADAS Remote job involves working on Advanced Driver Assistance Systems (ADAS) remotely, typically focusing on software development, testing, calibration, or data analysis for autonomous driving and safety features. Employees in this role may analyze sensor data, refine machine learning models, or troubleshoot ADAS functionalities. These jobs often require expertise in automotive technology, computer vision, machine learning, and programming. Remote professionals collaborate with on-site teams to develop and optimize ADAS features for improved vehicle safety and automation.

What are the typical responsibilities of an Adas Remote?

Professionals in an ADAS Remote role are often responsible for remotely monitoring, testing, and validating advanced driver-assistance systems using specialized software tools. They may analyze sensor data, provide feedback on system performance, and document issues for further development. Collaboration with on-site engineers, software developers, and testing teams is common, and clear communication via digital platforms is essential. Daily tasks can also include running test scenarios, troubleshooting detected anomalies, and ensuring the systems meet safety and compliance standards. The work is highly collaborative and detail-oriented, offering a dynamic environment for professionals interested in cutting-edge automotive technology.

What are the key skills and qualifications needed to thrive as an Adas Remote?

To excel as an ADAS Remote operator or engineer, you typically need a solid understanding of automotive systems, strong analytical abilities, and relevant experience or education related to Advanced Driver-Assistance Systems (ADAS). Familiarity with industry-standard simulation software, remote testing platforms, and possibly certifications in automotive safety or software testing are common requirements. Attention to detail, effective communication, and the ability to work independently are crucial soft skills in this remote role. These abilities ensure accurate system validation, remote collaboration, and dependable results in developing and maintaining ADAS technologies.

What are the most commonly searched types of Adas jobs in California?

The most popular types of Adas jobs in California are:

What are popular job titles related to Adas Remote jobs in California?

For Adas Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Adas Remote jobs in California look for?

The top searched job categories for Adas Remote jobs in California are:

What cities in California are hiring for Adas Remote jobs?

Cities in California with the most Adas Remote job openings:

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Infographic showing various Adas Remote job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Systems Engineer, Teleoperations & Remote Drive

Garden Grove, CA • On-site, Remote

Harbinger Motors Inc.
See more jobs at Harbinger Motors Inc.external

Full-time

Posted 23 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).

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