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Perception Engineer Remote Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

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:

Senior Engineer

Boston, MA · Remote

$190K - $244K/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:

Senior Engineer

Boston, MA · On-site +1

$190K - $244K/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:

Perception Engineer Remote information

See Boston, MA salary details

$14

$60

$87

How much do perception engineer remote jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for perception engineer remote in Boston, MA is $60.83, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $80.96 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 the most commonly searched types of Perception Engineer jobs in Boston, MA?

The most popular types of Perception Engineer jobs in Boston, MA are:

What are popular job titles related to Perception Engineer Remote jobs in Boston, MA?

For Perception Engineer Remote jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Perception Engineer Remote jobs in Boston, MA look for?

The top searched job categories for Perception Engineer Remote jobs in Boston, MA are:

Perception Engineer

Boston, MA • On-site, Remote

Motional
Motor Vehicle Manufacturing • 501 - 1,000 employees

Full-time

Posted 21 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