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Internship Perception Engineer Jobs (NOW HIRING)

Optimax Systems Inc.

2027 Winter Internship

Ontario, NY · On-site

$31K - $72K/yr

Currently pursuing a degree in Optics, Engineering, Materials Science, Mathematics, Physics ... depth perception, and ability to adjust focus Work Environment: * Generally works in a clean ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Build and improve computer vision features using 3D perception and AI technologies. * Help develop ... Experience * 1 to 2 years of professional, internship, or research experience in software ...

Optimax Systems Inc.

2027 Summer Internship

Ontario, NY · On-site

$31K - $72K/yr

Currently pursuing a degree in Optics, Engineering, Materials Science, Mathematics, Physics ... depth perception, and ability to adjust focus Work Environment: * Generally works in a clean ...

ZF Group

Engineer I - Algorithm

Farmington Hills, MI · On-site

The team combines classical estimation and perception methods with modern C++ software engineering ... Master's preferred * 0-2 years of relevant experience; internships, co-ops, research assistantships ...

ZF

Engineer I - Algorithm

Farmington Hills, MI

The team combines classical estimation and perception methods with modern C++ software engineering ... Master's preferred * 0-2 years of relevant experience; internships, co-ops, research assistantships ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Build and improve computer vision features using 3D perception and AI technologies. * Help develop ... Experience * 1 to 2 years of professional, internship, or research experience in software ...

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How much do internship perception engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for internship perception engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship perception engineer?

An Internship Perception Engineer is a student or recent graduate who works on developing and improving perception systems, often within the fields of robotics, autonomous vehicles, or computer vision. Their responsibilities typically include processing sensor data (like cameras, LiDAR, or radar), developing algorithms for object detection and tracking, and contributing to machine learning models that help machines understand their environment. These internships offer hands-on experience with cutting-edge technologies and exposure to real-world engineering challenges. Interns usually work under the guidance of experienced engineers and may collaborate with teams across hardware, software, and research.

What types of projects does an internship perception engineer typically work on, and how do these contribute to the overall goals of the engineering team?

Internship Perception Engineers usually work on projects involving data collection, algorithm development, and sensor integration to help machines interpret their environments. These projects can include tasks like annotating sensor data, testing perception models (such as object detection or tracking), or supporting the deployment of perception systems in real-world scenarios. By contributing to these projects, interns help the team improve the accuracy and reliability of perception solutions, which are essential for applications like autonomous vehicles or robotics. Interns often collaborate closely with senior engineers and cross-functional teams, gaining hands-on experience and exposure to state-of-the-art technologies.

What are the key skills and qualifications needed to thrive as an internship perception engineer, and why are they important?

To thrive as an Internship Perception Engineer, you need a solid background in computer vision, machine learning, and programming languages such as Python or C++, often supported by coursework in robotics or artificial intelligence. Familiarity with tools like ROS, OpenCV, TensorFlow, and experience working with sensor data (e.g., LiDAR, cameras) are typically required. Strong problem-solving abilities, teamwork, and effective communication set top candidates apart in collaborative, research-driven environments. These skills are crucial for developing and integrating advanced perception algorithms that enable autonomous systems to interpret and interact with their surroundings.

What is the difference between Internship Perception Engineer vs Perception Engineer?

AspectInternship Perception EngineerPerception Engineer
Required CredentialsTypically pursuing or recently completed relevant degree (e.g., Computer Science, AI)Bachelor's or higher in related field, with experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time professional role, responsible for perception system development
Employer & Industry UsageInternship programs in tech companies, research labsEstablished companies in autonomous vehicles, robotics, AI
Search & Comparison IntentUnderstanding entry-level roles, internships, career pathProfessional expertise, career advancement, project responsibilities

In summary, an Internship Perception Engineer is an entry-level role designed for students or recent graduates gaining experience in perception systems, while a Perception Engineer is a full-time professional responsible for developing and maintaining perception algorithms in industry settings.

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Internship Perception Engineer jobs near you
Infographic showing various Internship Perception Engineer job openings in the United States as of September 2026, with employment types broken down into 9% Internship, 82% Full Time, and 9% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

ENGINEER - COMPUTER SCIENTIST - RESEARCH ENGINEER - Robotics Engineer

San Antonio, TX • On-site

Southwest Research Institute
Scientific Research and Development Services • 1 - 5K employees
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Re-posted 12 days ago

Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

Job description

Who We Are: The Robotics Department develops industrial robotic, automated, and autonomous solutions for government and commercial clients across a wide range of industries. Objectives of this Role: Contribute to solving real-world challenges by building advanced capabilities, technologies, and solutions in the field of industrial robotics and automation. Support software/controls development, perception, hardware integration, and testing on industrial robots and custom automation hardware. Be part of a team with some of the brightest minds in industrial robotics. Find new applications, industries, and clients for novel automation capabilities. Activities will include work primarily at SwRI facilities/laboratories. Meetings, as well as deployment efforts, may occur at commercial and government client facilities. Visit https://robotics.swri.org to learn about some of the work we do. Daily and Monthly Responsibilities: Communicate effectively with internal team, external clients, and industry partners. Collaborate with multidisciplinary team to develop technical solutions, and coordinate technical tasks with project managers and engineering staff. Develop software and/or hardware solutions for robotic and automated systems. Development tasks include: design, build, debug, and implementation at client facilities. Coordinate individual performance goals and objectives set by the organization. Assist in preparing proposals and cost estimates. Interact with customers to promote new business and develop technical requirements for projects. Special focus of motion planning, 3D perception/processing, industrial robotic manipulators, surface reconstruction, applied machine learning, and/or hardware design. Requirements: Requires a Bachelors, Masters or a PhD in Robotics, Mechatronics Engineering, Mechanical Engineering, Software Engineering, or other robotics-related degree. 0-5 years: BS candidates must have relevant academic research and/or internship experience. MS and PhD candidates must have completed graduate work related to robotics, machine learning, or mechatronics. Experience with robotics, applied machine learning, perception, and/or hardware design through prior industry employment or an internship, co-op, student competition team, or graduate research is required. Strong software skills; C++ or Python required; Robot Operating System (ROS) experience preferred. Operational and/or research experience with software is required. Strong communication skills. A valid/clear driver's license is required.

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