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Perception Engineer Jobs in Massachusetts (NOW HIRING)

Motional

Perception Engineer

Boston, MA · On-site +1

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 ...

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 through technology solutions.. * Design, develop, implement, and fix ...

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 through technology solutions.. * Design, develop, implement, and fix ...

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$88

How much do perception engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for perception engineer in Massachusetts is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $81.39 per hour, depending on experience, location, and employer.

What is a perception engineer?

A Perception Engineer develops and optimizes computer vision and sensor-based systems to help machines interpret and understand their surroundings. This role involves working with data from cameras, LiDAR, radar, and other sensors to create models for object detection, tracking, and scene understanding. Perception Engineers commonly work in fields like robotics, autonomous vehicles, and augmented reality, utilizing machine learning and signal processing techniques. Their goal is to enhance a system’s ability to perceive and react to its environment accurately and efficiently.

What are the typical daily responsibilities of a perception engineer?

As a Perception Engineer, your typical day involves designing, developing, and testing algorithms that help automated systems interpret sensor data from sources such as cameras, lidar, and radar. You’ll spend time collaborating with cross-functional teams, including hardware engineers and software developers, to integrate perception solutions into larger systems like autonomous vehicles or robotics platforms. Regular tasks include data collection and annotation, debugging, performance optimization, and participating in code reviews. This role often requires a balance of independent problem-solving and teamwork to ensure reliable and accurate perception capabilities in ever-changing environments.

What are the key skills and qualifications needed to thrive in the perception engineer position, and why are they important?

To thrive as a Perception Engineer, you need a strong background in computer vision, sensor fusion, machine learning, and robotics, usually supported by a degree in electrical engineering, computer science, or a related field. Experience with programming languages like Python or C++, deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with tools like ROS and OpenCV are commonly required. Analytical thinking, problem-solving, and effective communication are valuable soft skills that set top candidates apart. These skills are crucial for developing and optimizing perception systems that enable machines to understand and interact with complex real-world environments.

How do you become a perception engineer?

To become a perception engineer, typically a bachelor's degree in computer science, electrical engineering, or a related field is required. Relevant skills include experience with computer vision, machine learning, and programming languages like Python or C++, along with knowledge of sensor data processing and AI frameworks. Gaining hands-on experience through internships or projects is also beneficial.

What does a perception engineer do?

A perception engineer develops algorithms and systems that enable machines to interpret sensory data such as images, audio, and lidar. They work on tasks like object detection, scene understanding, and sensor fusion, often using machine learning and computer vision tools. Their work is essential in fields like autonomous vehicles, robotics, and advanced driver-assistance systems.

What are the most commonly searched types of Perception Engineer jobs in Massachusetts?

The most popular types of Perception Engineer jobs in Massachusetts are:

What are popular job titles related to Perception Engineer jobs in Massachusetts?

For Perception Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Perception Engineer jobs in Massachusetts look for?

The top searched job categories for Perception Engineer jobs in Massachusetts are:

Perception Engineer jobs near you
Infographic showing various Perception Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $127,192 per year, or $61.1 per hour.

Perception Engineer

Boston, MA • On-site, Remote

Motional
Motor Vehicle Manufacturing • 501 - 1,000 employees
Learn more about Motionalexternal

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 

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