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Robotics Perception Jobs in Chesapeake, VA (NOW HIRING)

Robotics Perception information

See Chesapeake, VA salary details

$81.6K

$93.2K

$113.1K

How much do robotics perception jobs pay per year?

As of Sep 5, 2026, the average yearly pay for robotics perception in Chesapeake, VA is $93,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $99,100.00 per year, depending on experience, location, and employer.

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

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.

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 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 job categories do people searching Robotics Perception jobs in Chesapeake, VA look for?

The top searched job categories for Robotics Perception jobs in Chesapeake, VA are:

What cities near Chesapeake, VA are hiring for Robotics Perception jobs?

Cities near Chesapeake, VA with the most Robotics Perception job openings:

Engineering Technology Graduate Adjunct Faculty

ECPI University

Newport News, VA • On-site

$1.4K - $1.8K/wk

Part-time

Re-posted 26 days ago


ECPI University rating

6.1

Company rating: 6.1 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

560th of 630 rated colleges and universities


Job description

Compensation: $1,499 - $1,801 per course section. Compensation is determined by discipline, credential level, and course type. Ranges reflect good faith estimates based on current pay practices.
The Department of Engineering Technology at ECPI University invites applications for an adjunct (part-time) non-tenure-track teaching position in the School of Engineering Technology housed in the College of Technology. The successful candidate is expected to teach graduate and undergraduate courses and laboratories in Electronics Engineering Technology and be available to support students.
The School of Engineering Technology offers Baccalaureate degree programs in Electronic Systems Engineering Technology with concentrations in Mechatronics and Electronics. The Engineering Technology Department offers faculty the perfect environment to share their industry experience with students through our five weeks long terms.
Responsibilities
Faculty members are expected to teach undergraduate and graduate courses and labs, based on their experience, in the areas of:
  • Robotics & Smart Manufacturing
  • Machine Learning
  • Robot Operating Systems, ROS
  • Analog & Digital Electronics
  • Programmable Logic Controllers
  • Microcontrollers
  • Field Programmable Logic Arrays, FPGAs
  • Communication Systems
  • Computer Aided Drafting & Design
  • Engineering Mechanics

Qualifications
Education/Certifications:
Ph.D. degree in Electrical/Electronics Engineering or in a related field with 18 graduate semester hours in the discipline from a regionally accredited educational institution;
Experience:
  • Autonomous systems
  • Educational robots
  • Robot Perception and Sensing
  • Control Systems and Mechatronics
  • Robot Learning
  • Familiarity with IsaacSim
  • Familiarity with Multisim and Labview software
  • Experience with Siemens and Allen-Bradley PLCs
  • 2 years teaching/curriculum experience, and strong online presentation skills are a plus.
  • 3-5 years industry experience in an electrical and/or manufacturing engineering field required; 10-15 years career industry experience preferred.
    Industry experience must be within the last 5 years.
    Mechatronics candidates should have a strong background in control systems, instrumentation and measurements, and mechanical systems
  • Familiarity with CAD software
    Appropriate technical certification or licensure (if required.)
    Canvas LMS experience preferred.

Required Skills:
  • Experience in a student-centric and hands-on learning environment
  • High levels of integrity
  • Able to work in a 5 week course accelerated environment
  • Ability to build rapport quickly
  • Solid listening skills, approachability, and ability to see multiple perspectives
  • Exemplary interpersonal skills, verbal and written communication skills
  • Comfortable with technology and its integration in the classroom preferred.

ECPI University is proud to be an Equal Opportunity Employer.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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