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Robotics Perception Jobs in Connecticut (NOW HIRING)

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 ...

New

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 ...

New

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 ...

New

Examples include autonomous flight, material discovery and design, automated visual inspection of parts, robotic perception and prognostics and health management. We conduct basic and applied ...

Physical AI Senior Manager

Stamford, CT

$134K - $178K/yr

Robotics and autonomy (e.g., industrial robotics, mobile robotics and AMRs, perception-to-action workflows) * Simulation, digital twins, physics-based modeling for factories, lines, cells ...

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.

Robotics Perception information

What are some common challenges faced by professionals in Robotics Perception roles when integrating perception systems with real-world robotics applications?

A key challenge in Robotics Perception is ensuring that perception algorithms—such as object detection, mapping, and localization—operate reliably in dynamic, unstructured environments. Professionals often need to address sensor noise, variable lighting conditions, and occlusions that can impact data quality. Integrating perception systems with robotic hardware requires close collaboration with mechanical, software, and controls engineers to ensure real-time performance and robustness. Adapting solutions to different platforms and continuously validating them in field tests is also an essential, ongoing responsibility.

What is robotics perception?

Robotics perception refers to the ability of robots to interpret and understand their environment using sensors such as cameras, LIDAR, and radar. This field combines elements of computer vision, machine learning, and sensor fusion to help robots identify objects, navigate spaces, and interact with the world safely and effectively. Robotics perception is crucial for autonomous systems like self-driving cars, drones, and industrial robots, enabling them to make decisions based on real-time data from their surroundings.

What is the difference between Robotics Perception vs Robotics Software Engineer?

AspectRobotics PerceptionRobotics Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with perception algorithmsBachelor's or Master's in Computer Science, Software Engineering, or related; programming skills in C++, Python
Work EnvironmentResearch labs, R&D departments, industry settings focused on sensor data processingDevelopment teams, industrial or research settings, focusing on software development for robots
Industry UsageUsed in autonomous vehicles, drones, and robotic systems for environment understandingDevelops the software that enables robotic functionalities, including perception modules

Robotics Perception specialists focus on developing algorithms that interpret sensor data to understand the environment, while Robotics Software Engineers build the overall software systems that incorporate perception modules. Both roles often collaborate but differ in their core focus and skill sets.

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 a solid background in computer vision, machine learning, and robotics, typically supported by a degree in computer science, engineering, or a related field. Experience with tools like ROS (Robot Operating System), OpenCV, and programming languages such as Python or C++ is essential, along with familiarity with sensor technologies and perception algorithms. Strong problem-solving skills, teamwork, and clear communication are crucial soft skills for addressing complex challenges and collaborating effectively. These abilities ensure robust perception systems, enabling robots to interpret and interact safely and efficiently with their environments.
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What cities in Connecticut are hiring for Robotics Perception jobs? Cities in Connecticut with the most Robotics Perception job openings:
Sr Engineer (Perception)

Sr Engineer (Perception)

RANPAK

Shelton, CT

$104K - $143K/yr

Full-time

Posted 4 days ago

New


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.