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Robotics Perception Engineer Jobs in Lynn, MA (NOW HIRING)

As a Robotics Software Engineer, you will develop systems that enable robots to perform complex ... with perception or computer vision (deep or classical) โ€ข Experience with infra and devtools ...

This person will own full-cycle recruiting for complex software engineering functions with a particular emphasis on Autonomy, Robotics, Embedded Software, Perception, Planning, Controls, Distributed ...

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Robotics Perception Engineer information

See Lynn, MA salary details

$29.9K

$108.9K

$174.3K

How much do robotics perception engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for robotics perception engineer in Lynn, MA is $108,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,100.00 and $131,000.00 per year, depending on experience, location, and employer.

What is a robotics perception engineer?

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 are the key skills and qualifications needed to thrive as a robotics perception engineer?

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 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 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 job categories do people searching Robotics Perception Engineer jobs in Lynn, MA look for?

The top searched job categories for Robotics Perception Engineer jobs in Lynn, MA are:

What cities near Lynn, MA are hiring for Robotics Perception Engineer jobs?

Cities near Lynn, MA with the most Robotics Perception Engineer job openings:

Senior Robotics Engineer / Onsite / Woburn, MA

Motion Recruitment

Boston, MA โ€ข On-site

Full-time

Posted 6 days ago


Job description

An innovative robotics company is seeking a Senior Robotics Engineer โ€“ Motion Planning to join their team in Woburn, MA. This is a full-time opportunity with a company reinventing automotive service through cutting-edge robotics. The company is developing automated tire changing and wheel balancing technology that combines advanced robotics, multi-axis motion systems, perception, and intelligent software to transform a process that has remained largely unchanged for decades.

This is a high-ownership opportunity for a robotics engineer who wants to be a primary technical driver for motion planning and control on a completely unique robotic platform. Youโ€™ll work directly with custom multi-axis hardware, solving challenging problems involving motion planning, collision avoidance, kinematics, trajectory optimization, and real-world robotic execution. As part of a small, highly capable team, youโ€™ll have significant influence over technical direction, direct access to hardware, and the opportunity to take sophisticated robotics technology from prototype through real-world deployment. If you enjoy hands-on engineering, working close to the robot, and solving problems that donโ€™t have an existing playbook, this role offers the opportunity to make a meaningful impact on a category-defining technology.

Required Skills & Experience

ยท Deep expertise in robotic motion planning algorithms, including sampling-based methods such as RRT and RRT*, probabilistic roadmaps (PRM), and trajectory optimization techniques such as CHOMP, STOMP, or TrajOpt

ยท 2+ years of hands-on experience with ROS 2 and MoveIt/MoveIt 2 in production or near-production robotic systems

ยท Strong understanding of robot kinematics, including forward and inverse kinematics for serial and parallel manipulators

ยท Hands-on experience with kinematic solvers such as KDL, TRAC-IK, or equivalent

ยท Strong understanding of collision avoidance, occupancy representations, voxel grids, OctoMap, and safety-aware motion planning

ยท Experience configuring and adapting URDF/SRDF models, planning scenes, planner interfaces, joint groups, and motion profiles

ยท Strong proficiency in C++ and/or Python within the ROS 2 ecosystem

ยท Understanding of real-time performance considerations, memory management, software architecture, and robotics software design patterns

ยท Proven ability to diagnose complex hardware/software integration issues, from high-level trajectory failures to low-level actuator constraints

ยท Experience developing production-grade robotic systems capable of reliable, fast motion planning under real-world constraints

ยท Experience working with dynamic obstacles, tight tolerances, and complex collision environments

ยท Experience with robotic simulation environments for development, testing, and validation

ยท Strong software engineering fundamentals, including writing clean, maintainable, well-tested code and documenting technical designs

Desired Skills & Experience

ยท BS, MS, or PhD in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or a related technical field

ยท Experience with the Pilz Industrial Motion Planner, OMPL, CHOMP, STOMP, or other industrial motion planning frameworks

ยท Background in automotive service equipment, industrial automation, manufacturing systems, or complex mechatronic platforms

ยท Experience with real-time trajectory execution and hardware-in-the-loop testing

ยท Experience with safety-rated motion control, safety interlocks, or other robotic safety systems

ยท Full-stack robotics experience spanning motor control, drive systems, hardware abstraction layers (HAL), and low-level firmware interfaces

ยท Experience integrating perception systems into reactive or perception-driven motion planning

ยท Familiarity with LiDAR, depth cameras, IMUs, point clouds, PCL, Open3D, SLAM, or object detection

ยท Experience deploying and debugging robotic systems in the field

ยท Experience working with multi-manipulator or multi-axis robotic systems operating in confined or highly constrained environments

ยท Experience optimizing robotic systems for fast, repeatable, production-ready operation

What You Will Be Doing Tech Breakdown

ยท 30% Motion Planning & Trajectory Optimization โ€” Develop collision-aware motion planning using OMPL, RRT/RRT-Connect/PRM, Pilz, CHOMP, STOMP, TrajOpt, and other planning approaches

ยท 20% ROS 2 & MoveIt Development โ€” Build and maintain ROS 2 nodes, MoveIt/MoveIt 2 configurations, planning scenes, URDF/SRDF models, planner interfaces, joint groups, and trajectory execution systems

ยท 20% Robotics Software & Controls โ€” Develop software for actuator state feedback, joint state publishing, trajectory execution, motion control, and hardware interfaces

ยท 15% Kinematics, Collision Avoidance & Safety โ€” Define kinematic constraints, velocity/acceleration limits, collision models, safety interlocks, and joint-specific motion profiles

ยท 15% Simulation, Testing & Field Deployment โ€” Validate robotic behaviors in simulation, perform hardware-in-the-loop testing, debug production hardware, and optimize motion performance during field deployments

Daily Responsibilities

ยท 50% Hands-On Engineering โ€” Write and review C++/Python code, develop motion planning algorithms, tune planners, debug trajectories, and optimize robotic performance

ยท 20% Hardware & Systems Integration โ€” Work directly with robotic hardware, actuators, drives, sensors, and low-level interfaces to ensure reliable motion execution

ยท 15% Testing & Validation โ€” Build simulation and validation workflows, test collision avoidance and trajectory execution, and ensure motion planning meets production requirements

ยท 15% Team Collaboration โ€” Partner with perception, systems, hardware, firmware, and software engineers to define requirements, troubleshoot integration issues, and establish technical direction