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Perception Engineer Remote Jobs in Long Beach, CA

Faraday Future

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ... perception. * Collaboration * Cross-functional Synergy: Partner closely with AI Researchers ...

Faraday Future

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ... perception. * Collaboration * Cross-functional Synergy: Partner closely with AI Researchers ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our Field Foundational Models set a new standard in perception, planning, localization, and ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option ... Our Field Foundational Models™ set a new standard in perception, planning, localization, and ...

All JobsPerception Engineer JobsPerception Engineer Remote JobsPerception Engineer Remote Jobs in Long Beach, CA

Perception Engineer Remote information

See Long Beach, CA salary details

$13

$58

$84

How much do perception engineer remote jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for perception engineer remote in Long Beach, CA is $58.87, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $78.37 per hour, depending on experience, location, and employer.

What does a perception engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What are the key skills and qualifications needed to thrive as a perception engineer remote, and why are they important?

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

What are some common challenges perception engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

What is the difference between Perception Engineer Remote vs Computer Vision Engineer?

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

What are popular job titles related to Perception Engineer Remote jobs in Long Beach, CA?

For Perception Engineer Remote jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Perception Engineer Remote jobs in Long Beach, CA look for?

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What cities near Long Beach, CA are hiring for Perception Engineer Remote jobs?

Cities near Long Beach, CA with the most Perception Engineer Remote job openings:

Perception Engineer Remote jobs near you
Infographic showing various Perception Engineer Remote job openings in Long Beach, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $122,458 per year, or $58.9 per hour.

Systems Engineer, Teleoperations & Remote Drive

Harbinger Motors Inc.

Garden Grove, CA • On-site, Remote

Full-time

Re-posted yesterday

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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