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Internship Computer Vision Robotics Jobs (NOW HIRING)

Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices * Port, implement, and optimize analytics and machine learning algorithms ...

Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices * Port, implement, and optimize analytics and machine learning algorithms ...

Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices * Port, implement, and optimize analytics and machine learning algorithms ...

PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field * Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets ...

Computer Vision Engineer

San Diego, CA ยท On-site

$118K - $139K/yr

... robotics, and immersive AR/VR platforms. The group's work spans computer vision and video algorithm development, mapping these algorithms to computer vision and neural-processing accelerator ...

PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field * Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets ...

PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field * Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets ...

PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field * Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets ...

Computer Vision/ML Engineer

Brooklyn, NY

$117K - $138K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

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Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Robotics, and why are they important?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What are Internship Computer Vision Robotics positions?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, especially in robotics and automation. Skills in machine learning, deep learning, and programming with tools like OpenCV and TensorFlow are in high demand for roles such as internship computer vision robotics. The field continues to grow as new techniques and hardware improve the capabilities of autonomous systems.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

What are the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in finance, accounting, or consulting. For a computer vision robotics internship, relevant skills include programming, machine learning, and robotics tools, but the 'Big 4' are primarily known for their accounting and consulting internships.

How to get a robotics internship?

To secure a robotics internship, candidates should have a strong foundation in computer vision, robotics, and programming languages like Python or C++. Gaining experience through relevant coursework, personal projects, or competitions, and demonstrating knowledge of robotics frameworks such as ROS can improve chances. Applying to internships through university career centers or company websites and preparing a technical resume are also important steps.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, programming languages like Python or C++, and tools like OpenCV or TensorFlow, under the supervision of experienced engineers to support projects related to object detection, image processing, and autonomous systems.
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Perception Engineer I - Project Based

Perception Engineer I - Project Based

Autonomous Solutions

Fort Worth, TX โ€ข On-site

Temporary

Medical, Retirement, PTO

Posted 10 days ago


Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous compactor platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.

JOB SUMMARY

The Perception Engineer I supports the development, integration, and testing of perception capabilities that enable ASI's autonomous compactors to understand terrain, detect obstacles, recognize work-area conditions, and operate safely in construction environments. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support environmental awareness, terrain understanding, obstacle detection, and autonomous machine operation.

As a Level I engineer within ASI's five-level engineering structure, this position completes defined engineering assignments under the guidance of more experienced engineers. The role provides an opportunity to develop practical experience in robotics, computer vision, sensor processing, software development, and autonomous heavy-equipment testing while contributing to the Compactor Team's development goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Support the development, implementation, and testing of perception software for autonomous compactor applications
  • Assist with capabilities involving obstacle detection, object classification, terrain understanding, work-area awareness, and environmental sensing
  • Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
  • Develop and maintain software components, scripts, and engineering tools under the direction of experienced team members
  • Assist with integrating perception software into ASI's autonomous compactor platforms and embedded computing systems
  • Evaluate assigned perception features using recorded datasets, simulation, laboratory testing, and vehicle field testing
  • Review test data to identify false detections, missed detections, sensor issues, and performance limitations
  • Support the collection, organization, labeling, visualization, and replay of sensor data
  • Assist with sensor installation, configuration, calibration, and validation activities
  • Develop basic tools for data processing, visualization, automated testing, and performance analysis
  • Troubleshoot defined software, sensor, and system-integration issues with support from senior engineers
  • Contribute to unit testing, regression testing, and documentation for perception software components
  • Work with GNC, embedded software, systems, test, and field teams to support autonomous compactor integration
  • Participate in code reviews, design discussions, sprint planning, and technical training activities
  • Document software changes, test results, technical findings, and known system limitations
  • Support field testing, customer demonstrations, and deployment activities as required
  • Follow established software-development, safety, quality, and configuration-management practices

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Zero to two years of professional experience in computer vision, robotics, machine learning, sensor processing, or software engineering
  • Academic, internship, research, or project experience developing software in C++ or Python
  • Basic understanding of computer vision, robotics, data processing, machine learning, or geometric algorithms
  • Familiarity with cameras, LiDAR, radar, GPS/GNSS, or other robotic sensing technologies
  • Familiarity with Linux-based software-development environments
  • Basic understanding of version control systems such as Git
  • Ability to analyze technical data and communicate findings clearly
  • Strong troubleshooting, learning, and problem-solving skills
  • Strong attention to detail and willingness to follow established engineering processes
  • Ability to receive technical direction and collaborate effectively with cross-functional teams
  • Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

  • Internship, research, capstone, or personal-project experience involving robotics, autonomous vehicles, computer vision, or machine learning
  • Familiarity with ROS, ROS2, or similar robotics middleware
  • Exposure to OpenCV, Point Cloud Library, PyTorch, TensorFlow, or similar technologies
  • Experience working with image data, point clouds, sensor data, or machine-learning datasets
  • Familiarity with coordinate systems, transformations, sensor calibration, or data synchronization
  • Experience developing software for embedded, real-time, or robotic systems
  • Exposure to simulation, recorded-data replay, software-in-the-loop, or hardware-in-the-loop testing
  • Familiarity with construction equipment, compactors, heavy machinery, or off-road vehicles
  • Interest in terrain analysis, soil compaction, construction automation, or autonomous heavy equipment
  • Experience testing software or robotic systems in outdoor or field environments

BENEFITS

ASI offers a comprehensive benefits package, including:

  • 401k with employer match
  • Generous HSA contribution
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

This is a full-time, project-based employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.