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Robotics Perception Jobs in Arizona (NOW HIRING)

Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ... perception models. - Experience working with large Vision-Language Models (VLMs) The US yearly ...

Experience in physical testing in automotive, aerospace or robotics, including test equipment and ... Perception, etc.) * Experience with physical hands-on testing of Autonomous Vehicles and related ...

The Engineering Supervisor is responsible for overseeing day-to-day activities of the robotics ... Close vision, color vision, depth perception, and ability to adjust focus. WORKING ENVIRONMENT OF ...

Proving Ground Site Lead

Phoenix, AZ · On-site

$230K - $284K/yr

Experience in physical testing in automotive, aerospace or robotics, including test equipment and ... Perception, etc.) * Experience with physical hands-on testing of Autonomous Vehicles and related ...

Proving Ground Site Lead

Phoenix, AZ · On-site +1

$230K - $284K/yr

Experience in physical testing in automotive, aerospace or robotics, including test equipment and ... Perception, etc.) * Experience with physical hands-on testing of Autonomous Vehicles and related ...

Controls Engineer 1

Phoenix, AZ · On-site

$79K - $103K/yr

Experience in the following fields, robotics, automotive, communication systems or process type ... Close vision, color vision, depth perception, and ability to adjust focus. * Ability to ...

Controls Engineer 1

Phoenix, AZ · On-site

$79K - $103K/yr

Experience in the following fields, robotics, automotive, communication systems or process type ... Close vision, color vision, depth perception, and ability to adjust focus. * Ability to ...

... Robotics, and Motor Control. Physical Demands: * Frequent sitting, standing, and walking with ... Depth perception (three-dimensional vision, ability to judge distances and spatial relationships)

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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.
What cities in Arizona are hiring for Robotics Perception jobs? Cities in Arizona with the most Robotics Perception job openings:
Computer Vision Camera Systems Internship

Computer Vision Camera Systems Internship

Alphacore Inc

Tempe, AZ • On-site

Internship

Posted 24 days ago


Job description

Computer Vision Camera Systems Internship (Alphacore - Tempe, AZ - Onsite)
We're looking for an intern who's equally at home on the optical bench and in a Python
notebook, eager to turn raw sensor data into real-time insight.
Qualifications
• Working toward or holding a degree in Optical Engineering, Electrical Engineering, Robotics, Computer Science, or a closely related field.
• Hands-on experience with camera hardware and basic lab instrumentation.
• Understanding of intrinsic & extrinsic calibration, camera-pose estimation, and radiometric calibration.
• Proficiency in Python or C++; experience deploying code on embedded/edge platforms is a plus. Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems.
• Strong problem-solving skills and the curiosity to dig deep into both hardware and software.
What You'll Do
• Calibrate advanced cameras - derive lens intrinsics, sensor extrinsic, and radiometric response curves.
• Integrate multi-sensor rigs - time-align cameras with IMUs, range finders, and custom electronics, then capture synchronized datasets.
• Build edge pipelines - deploy calibration-informed perception algorithms on embedded CPUs/GPUs for live testing.
• Prototype rapidly in the lab - design fixtures, script data collection, and iterate on hardware-software interactions for next-generation imaging systems.
Other Job Requirements
Due to U.S. export-control (ITAR) regulations, this position is open to U.S. persons only (citizens or lawful permanent residents).
How to Apply
Email your resume, to [email protected] with the subject line "Computer Vision Camera Systems Internship"
About Us
Alphacore designs image sensors from the transistor level up. We craft pixel architectures, tape them out, and turn them into complete camera chips-giving you a front-row seat to semiconductor design flows, optical test benches, and the way manufacturing decisions ripple into imaging performance. Join our tight-knit Tempe team and help push camera technology to its next breakthrough.
Learn more about us
Solutions | Alphacore | Robust High-Performance Microelectronics (alphacoreinc.com)