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Perception Jobs in Massachusetts (NOW HIRING)

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 ...

About the Role As an Autonomy Engineer - Perception at Tycho.AI, you will design, build, and validate perception systems for intelligent autonomous vehicles. You will collaborate with a cross ...

Perception Engineer

Boston, MA · On-site

$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 ...

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 ...

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 ...

As a member of the HMS Perception team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning ...

As a member of the HMS Perception team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning ...

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Perception information

See Massachusetts salary details

$32.2K

$169.7K

$256.4K

How much do perception jobs pay per year?

As of Aug 20, 2026, the average yearly pay for perception in Massachusetts is $169,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,315.00 and $198,463.00 per year, depending on experience, location, and employer.

What is a perception job?

A Perception job typically involves developing and improving a system's ability to interpret and understand sensory data, often in fields like robotics, autonomous vehicles, and computer vision. Professionals in this role work with sensor fusion, machine learning, and computer vision algorithms to detect, track, and classify objects in an environment. Their goal is to enable machines to perceive and react to their surroundings accurately, enhancing safety and efficiency.

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

To thrive as a Perception Engineer, you need strong foundations in computer vision, robotics, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Familiarity with tools like ROS, OpenCV, TensorFlow, and experience working with LiDAR, radar, or camera systems are highly valuable. Excellent problem-solving skills, adaptability, and effective communication help you collaborate within multidisciplinary teams and tackle complex technical challenges. These skills are crucial for developing reliable perception systems that enable autonomous machines to interpret and interact safely with real-world environments.

What are some common challenges faced by professionals working in perception roles within autonomous vehicle development teams?

Professionals in perception roles often encounter challenges related to processing large volumes of sensor data, such as lidar, radar, and cameras, in real time to ensure accurate object detection and scene understanding. Balancing the need for high accuracy with the computational limitations of embedded systems can be demanding. Additionally, perception engineers frequently collaborate with teams in sensor fusion, mapping, and planning, requiring strong communication and interdisciplinary problem-solving skills. Adapting to rapidly evolving technologies and continuously improving algorithms to handle edge cases in complex environments are also key aspects of the role.

What is the difference between Perception vs Data Analyst?

AspectPerceptionData Analyst
Required CredentialsVaries; often no formal certification requiredBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentResearch, consulting, or strategic planning settingsBusiness, finance, healthcare, and tech industries
Employer & Industry UsageUsed in marketing, psychology, and strategic rolesCommon in corporate, finance, and tech sectors
Search & Comparison IntentUnderstanding how perceptions influence decisionsAnalyzing data to inform business strategies

Perception focuses on how individuals interpret and understand information, often in psychological or strategic contexts. Data Analysts interpret and analyze data sets to support business decisions. While perception is more subjective and qualitative, Data Analysts rely on quantitative data analysis. Both roles are essential in decision-making processes but serve different functions within organizations.

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

The most popular types of Perception jobs in Massachusetts are:

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

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

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

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

What cities in Massachusetts are hiring for Perception jobs?

Cities in Massachusetts with the most Perception job openings:

Infographic showing various Perception job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $169,736 per year, or $81.6 per hour.

Perception Engineer

Motional

Boston, MA • On-site, Remote

Full-time

Posted 15 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