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Robot Perception Jobs in Virginia (NOW HIRING)

Forterra

Lead Autonomy Software Engineer

Arlington, VA · On-site

$150K - $250K/yr

Knowledge of navigation, mapping algorithms and robot perception * Familiarity with real-time operating systems and embedded programming * Leadership experience on cross-functional software teams US ...

Forterra

Senior Payloads Software Engineer

Arlington, VA · On-site

$120K - $200K/yr

Knowledge of navigation, mapping algorithms and robot perception * Familiarity with real-time operating systems and embedded programming * Leadership experience on cross-functional software teams US ...

Forterra

Autonomy Software Engineer

Arlington, VA · On-site

$120K - $165K/yr

Knowledge of navigation, mapping algorithms and robot perception * Familiarity with real-time operating systems and embedded programming US Salary Range $120,000-$165,000 The salary range for this ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

Join a cross-functional team of robotics, software, and mechanical engineers to build the computer vision and perception systems that powers Molg's robotic microfactories. As a Computer Vision ...

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Robot Perception information

What is robot perception?

Robot perception refers to the ability of robots to interpret and understand their environment using sensors and algorithms. This field involves processing data from cameras, lidar, radar, and other sensors to recognize objects, map surroundings, and make decisions. Effective robot perception is essential for tasks like navigation, object manipulation, and autonomous operation in dynamic environments. It combines elements of computer vision, machine learning, and sensor fusion to enable robots to function reliably and safely.

What are the key skills and qualifications needed to thrive in a Robot Perception role, and why are they important?

To excel in Robot Perception, you need a strong background in computer vision, machine learning, and sensor data processing, typically backed by a degree in computer science, robotics, or a related field. Familiarity with tools like ROS (Robot Operating System), OpenCV, PCL, and deep learning frameworks such as TensorFlow or PyTorch, as well as experience with LiDAR and camera systems, is highly valued. Creative problem-solving, adaptability, and effective teamwork are crucial soft skills for addressing complex perception challenges in dynamic environments. These competencies enable the development of robust perception systems, which are essential for safe and autonomous robotic operation.

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

AspectRobot PerceptionRobot Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; knowledge of perception algorithmsBachelor's or Master's in Software Engineering, Computer Science; programming skills in C++, Python
Work EnvironmentResearch labs, robotics companies, industrial settings focusing on sensor data processingSoftware development teams, robotics companies, embedded systems environments
Industry UsageUsed in autonomous vehicles, service robots, industrial automation for sensor data interpretationDevelops robot control software, integrates perception modules, and ensures system functionality

Robot Perception specialists focus on processing sensor data to enable robots to understand their environment, while Robot Software Engineers develop the software systems that control robot functions, including perception modules. Both roles often collaborate but have distinct focuses within robotics development.

What are some common challenges faced by professionals in Robot Perception roles, and how can they be addressed?

Professionals in Robot Perception roles often encounter challenges such as dealing with noisy sensor data, ensuring real-time processing, and integrating data from multiple sources to create an accurate understanding of the environment. Addressing these requires strong skills in sensor fusion, robust algorithm design, and close collaboration with robotics engineers and software developers. Continuous learning and staying updated with advancements in machine learning and computer vision are also key to overcoming these challenges and contributing effectively to the team's goals.
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Robot Perception jobs near you
Engineering Technology Graduate Adjunct Faculty

Engineering Technology Graduate Adjunct Faculty

ECPI University

Virginia Beach, VA • On-site

Part-time

Posted 13 days ago

ECPI University rating

5.7

Company rating: 5.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

500th of 535 rated colleges and universities

Job description

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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