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Robotics Perception Engineer Jobs in Cambridge, MA

Tutor

Robot Perception Engineer

Watertown, MA · On-site

Required : • 3+ years of experience in perception, robotics, or a closely related engineering role • Strong foundations in computer vision, robotics, or related fields • Comfortable writing ...

Tutor Intelligence

Robot Perception Engineer

Watertown, MA · On-site

$125K - $180K/yr

As an AI robotics company that deploys its inventions directly into the facilities that need them ... Perception Engineer As a Perception Engineer at Tutor Intelligence, you'll design, build, and ...

Tutor Intelligence

Robot Perception Engineer

Watertown, MA · On-site

$125K - $180K/yr

As an AI robotics company that deploys its inventions directly into the facilities that need them ... Perception Engineer As a Perception Engineer at Tutor Intelligence, you'll design, build, and ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Our team combines deep robotics expertise with real world deployment, moving fast from prototype to ... If you are a perception or computer vision engineer with a passion for solving complex automation ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Our team combines deep robotics expertise with real world deployment, moving fast from prototype to ... If you are a perception or computer vision engineer with a passion for solving complex automation ...

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All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Cambridge, MA

Robotics Perception Engineer information

See Cambridge, MA salary details

$31.7K

$115.4K

$184.7K

How much do robotics perception engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for robotics perception engineer in Cambridge, MA is $115,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $138,800.00 per year, depending on experience, location, and employer.

What are Robotics Perception Engineers?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

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

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by Robotics Perception Engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a Robotics Perception Engineer, and why are they important?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
What are popular job titles related to Robotics Perception Engineer jobs in Cambridge, MA? For Robotics Perception Engineer jobs in Cambridge, MA, the most frequently searched job titles are:
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Robotics Perception Engineer jobs near you

Lead Robotics Perception Engineer

Motion Recruitment

Boston, MA • On-site

$111K - $147K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Join a venture-backed robotics company that is transforming an industrial process through advanced automation, artificial intelligence, and computer vision. Backed by experienced founders and industry-leading investors, this organization has moved beyond the prototype stage and is deploying cutting-edge robotic systems into real-world production environments.

This is an opportunity to lead the development of next-generation robotic perception systems, combining classical computer vision, machine learning, and sensor fusion to solve complex automation challenges. You'll work alongside world-class robotics engineers developing products that bridge AI with physical systems in demanding industrial environments.

The Opportunity

We're seeking a Lead Perception Engineer to provide both technical leadership and hands-on development for a growing perception team. This individual will own the architecture, development, and deployment of production-ready perception systems while mentoring engineers and driving technical direction across the organization's AI and robotics initiatives.

This role is ideal for someone who enjoys solving difficult real-world robotics problems—not just developing algorithms, but deploying solutions onto production hardware and continuously improving performance in the field.

Required Skills & Experience
  • 8+ years of software engineering experience focused on robotics, computer vision, autonomous systems, or machine learning
  • 2+ years leading technical teams or serving as a Tech Lead or Engineering Lead
  • Expert programming experience with Python and C++; Rust experience is a plus
  • Strong experience developing production computer vision systems
  • Deep understanding of robotic perception pipelines and sensor calibration
  • Experience building and deploying machine learning models into production environments
  • Hands-on experience with PyTorch, OpenCV, CUDA, PCL, Open3D, or similar frameworks
  • Experience integrating LiDAR, stereo vision, Time-of-Flight cameras, RGB-D sensors, and other perception technologies
  • Strong understanding of robotics fundamentals including coordinate transforms, localization, calibration, and sensor fusion
  • Experience debugging complex hardware/software interactions in real-world robotic systems
Desired Skills & Experience
  • MS or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or related discipline
  • Experience working with ROS2 or comparable robotics middleware
  • Experience deploying AI models on embedded hardware
  • CUDA optimization and GPU acceleration experience
  • Experience with high-throughput, real-time vision systems
  • Familiarity with industrial robotics or warehouse automation
  • Experience mentoring engineers and conducting architectural reviews
  • Strong communication skills with the ability to collaborate across hardware and software teams
What You Will Be Doing
  • Lead the architecture and development of production robotic perception systems
  • Guide engineers through the full software development lifecycle from concept through deployment
  • Design perception pipelines utilizing classical computer vision and deep learning
  • Evaluate and select sensors including LiDAR, stereo cameras, RGB-D cameras, and Time-of-Flight technologies
  • Develop AI and machine learning models for object detection, segmentation, tracking, and classification
  • Improve system accuracy through sensor fusion, calibration, and optimization
  • Design scalable, low-latency perception architectures for real-time robotics applications
  • Perform hands-on debugging of hardware and software integration issues in laboratory and field environments
  • Conduct code reviews, mentor engineers, and establish engineering best practices
  • Partner closely with robotics, controls, software, mechanical, and systems engineering teams to deliver integrated autonomous solutions
Tech Breakdown
  • 35% Computer Vision & AI (PyTorch, OpenCV, CUDA)
  • 25% Robotics Perception & Sensor Fusion
  • 20% Software Engineering (Python, C++, Rust)
  • 10% Hardware Integration & Sensor Selection
  • 10% Technical Leadership & Architecture
Daily Responsibilities
  • 50% Hands-On Software Development
  • 25% Technical Leadership & Mentoring
  • 15% Cross-Functional Collaboration
  • 10% System Testing, Validation & Field Debugging
The Offer
  • Competitive base salary + potential bonus and equity
  • Comprehensive medical, dental, and vision insurance
  • 401(k)
  • Generous PTO and paid holidays
  • Opportunity to build cutting-edge AI-powered robotics deployed in real-world environments
  • Highly collaborative engineering culture with significant technical ownership
  • Career growth within a rapidly scaling, venture-backed robotics company

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship is not available for this position.

Join a venture-backed robotics company that is transforming an industrial process through advanced automation, artificial intelligence, and computer vision. Backed by experienced founders and industry-leading investors, this organization has moved beyond the prototype stage and is deploying cutting-edge robotic systems into real-world production environments.

This is an opportunity to lead the development of next-generation robotic perception systems, combining classical computer vision, machine learning, and sensor fusion to solve complex automation challenges. You'll work alongside world-class robotics engineers developing products that bridge AI with physical systems in demanding industrial environments.

The Opportunity

We're seeking a Lead Perception Engineer to provide both technical leadership and hands-on development for a growing perception team. This individual will own the architecture, development, and deployment of production-ready perception systems while mentoring engineers and driving technical direction across the organization's AI and robotics initiatives.

This role is ideal for someone who enjoys solving difficult real-world robotics problems—not just developing algorithms, but deploying solutions onto production hardware and continuously improving performance in the field.

Required Skills & Experience
  • 8+ years of software engineering experience focused on robotics, computer vision, autonomous systems, or machine learning
  • 2+ years leading technical teams or serving as a Tech Lead or Engineering Lead
  • Expert programming experience with Python and C++; Rust experience is a plus
  • Strong experience developing production computer vision systems
  • Deep understanding of robotic perception pipelines and sensor calibration
  • Experience building and deploying machine learning models into production environments
  • Hands-on experience with PyTorch, OpenCV, CUDA, PCL, Open3D, or similar frameworks
  • Experience integrating LiDAR, stereo vision, Time-of-Flight cameras, RGB-D sensors, and other perception technologies
  • Strong understanding of robotics fundamentals including coordinate transforms, localization, calibration, and sensor fusion
  • Experience debugging complex hardware/software interactions in real-world robotic systems
Desired Skills & Experience
  • MS or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or related discipline
  • Experience working with ROS2 or comparable robotics middleware
  • Experience deploying AI models on embedded hardware
  • CUDA optimization and GPU acceleration experience
  • Experience with high-throughput, real-time vision systems
  • Familiarity with industrial robotics or warehouse automation
  • Experience mentoring engineers and conducting architectural reviews
  • Strong communication skills with the ability to collaborate across hardware and software teams
What You Will Be Doing
  • Lead the architecture and development of production robotic perception systems
  • Guide engineers through the full software development lifecycle from concept through deployment
  • Design perception pipelines utilizing classical computer vision and deep learning
  • Evaluate and select sensors including LiDAR, stereo cameras, RGB-D cameras, and Time-of-Flight technologies
  • Develop AI and machine learning models for object detection, segmentation, tracking, and classification
  • Improve system accuracy through sensor fusion, calibration, and optimization
  • Design scalable, low-latency perception architectures for real-time robotics applications
  • Perform hands-on debugging of hardware and software integration issues in laboratory and field environments
  • Conduct code reviews, mentor engineers, and establish engineering best practices
  • Partner closely with robotics, controls, software, mechanical, and systems engineering teams to deliver integrated autonomous solutions
Tech Breakdown
  • 35% Computer Vision & AI (PyTorch, OpenCV, CUDA)
  • 25% Robotics Perception & Sensor Fusion
  • 20% Software Engineering (Python, C++, Rust)
  • 10% Hardware Integration & Sensor Selection
  • 10% Technical Leadership & Architecture
Daily Responsibilities
  • 50% Hands-On Software Development
  • 25% Technical Leadership & Mentoring
  • 15% Cross-Functional Collaboration
  • 10% System Testing, Validation & Field Debugging
The Offer
  • Competitive base salary + potential bonus and equity
  • Comprehensive medical, dental, and vision insurance
  • 401(k)
  • Generous PTO and paid holidays
  • Opportunity to build cutting-edge AI-powered robotics deployed in real-world environments
  • Highly collaborative engineering culture with significant technical ownership
  • Career growth within a rapidly scaling, venture-backed robotics company

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship is not available for this position.

Apply