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Perception Engineer Remote Jobs (NOW HIRING)

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

The Role We are looking for a Robotics Perception Engineer to own the sensing and perception stack ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Motional

Perception Engineer

Boston, MA · On-site +1

$165K - $197K/yr

Perception Engineer. Ref. No ... N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ...

Motional

Perception Engineer

Boston, MA · Remote

$165K - $197K/yr

Perception Engineer. Ref. No ... N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ...

Matrix Technologies

Civil Engineer (Remote)

Maumee, OH · Remote

$81K - $115K/yr

CIVIL ENGINEER ABOUT US Matrix Technologies is a 100% employee-owned engineering, construction ... perception, and the ability to adjust focus. * This employee may perform industrial field work ...

Motional

Senior Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ... Collaborate with perception, motion planning, and controls algorithm experts. What You Bring:

The Pennsylvania State University

$92K - $174K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Develop and integrate autonomyrelated capabilities such as sensor fusion, perception, and embedded ...

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Perception Engineer Remote information

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How much do perception engineer remote jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for perception engineer remote in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 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.

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Perception Engineer Remote jobs near you
Infographic showing various Perception Engineer Remote job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.

Perception Engineer

Motional

Boston, MA • On-site, Remote

Full-time

Posted 16 days ago

Job description

Perception Engineer. Ref. No. N322
BOSTON - REMOTE U.S. ONLY
FULL-TIME 

 What You'll Do:  

  • Connect/drive project-level impact through technology solutions..  
  • Design, develop, implement, and fix features in codebase.  
  • Formulate problems, architect solutions, and design processes.  
  • Train and deploy new AI models.  
  • Analyze model performance and identify improvements.  
  • Research/evaluate emerging technologies to enhance AI models.  
  • Prototype, evaluate, implement, and iterate on solutions. 

  What You Bring:  

  • Requires Bachelor's or higher in Computer Science, Electrical Engineering, Robotics, or or a closely related technical field  
  • Two years of industry experience in automotive industry software development.  
  • Experience must include: 
    • production-level software development,  
    • model deployment,  
    • integration and validation for robotics,  
    • testing/debugging algorithms,  
    • machine learning applications,  
    • Python,  
    • C++,  
    • PyTorch,  
    • GPU training,  
    • acceleration and inference optimization,  
    • TensorRT/CUDA,  
    • CI/CD pipelines, and 
    • Git. 

Ref Job No. N322 

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