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Robotics Perception Engineer Jobs in Connecticut

RANPAK

Sr Engineer (Perception)

Shelton, CT

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in ...

Ranpak

Sr Engineer (Perception)

Shelton, CT

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in ...

Ranpak

Sr Engineer (Perception)

Shelton, CT · On-site

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in ...

PTA Plastics

Manufacturing Engineer

Oxford, CT · On-site

$85K - $125K/yr

Familiarity with automation, robotics, or cobots is strongly preferred. * Working knowledge of Lean ... Good vision and color perception for inspecting parts and identifying any defects or abnormalities.

Deloitte

Physical AI Senior Manager

Stamford, CT · On-site

$134K - $178K/yr

Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ... Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action ...

All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Connecticut

Robotics Perception Engineer information

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.
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Robotics Perception Engineer jobs near you
Sr Engineer (Perception)

Sr Engineer (Perception)

RANPAK

Shelton, CT

$104K - $143K/yr

Full-time

Posted 19 days ago

Ranpak rating

8.8

Company rating: 8.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

9th of 119 rated packaging manufacturers

Job description

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in Computer Engineering, Electrical Engineering, Computer Science, Robotics Engineering or closely related field plus 4 years of experience as an Engineer. The position requires hands on experience developing robotics and machine perception systems in C++; knowledge in data structures and algorithms; 3 years of experience with OpenCV and the Point Cloud Library (PCL); proficient in Modern C++ with deep understanding of RAII, STL, templates, and contemporary language features; proficient in Unix/Linux environments; skilled in developing robust, production ready software systems; experienced in maintaining and extending large scale software libraries; proficient with ROS and other robotics middleware frameworks; hands on experience with parallel computing technologies, including TBB and CUDA; strong command of linear algebra libraries such as Eigen; background in applying machine learning techniques to real world problems; proficient with modern version control workflows using Git; familiar with agile development practices and CI/CD pipelines.

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