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Internship Computer Vision Robotics Jobs (NOW HIRING)

Anduril Industries

Computer Vision Engineer

Seattle, WA

$126.90K - $149.60K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field * Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA

$119.60K - $141.10K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field * Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Anduril Industries

Computer Vision Engineer

Seattle, WA · On-site

$126.90K - $149.60K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field • Experience: 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Anduril Industries

Computer Vision Engineer

Seattle, WA · On-site

$126.90K - $149.60K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field • Experience: 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$118.20K - $139.40K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field • Experience: 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Anduril Industries

Computer Vision Engineer

Costa Mesa, CA · On-site

$166K - $220K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field * Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Anduril Industries

Computer Vision Engineer

Seattle, WA · On-site

$166K - $220K/yr

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field * Experience : 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

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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.

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.

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Internship Computer Vision Robotics jobs near you
Infographic showing various Internship Computer Vision Robotics job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 6% Full Time, 82% Part Time, 1% Temporary, 5% Contract, and 2% Nights. Highlights an 37% Physical, 1% Hybrid, and 62% Remote job distribution.

Software Engineer-Computer Vision & Robotics

Lumilens

San Jose, CA • On-site

Full-time

Medical, Dental, Vision

Posted 13 days ago

Job description

About Lumilens
At Lumilens we are building the critical photonics infrastructure that powers tomorrow's AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing, faster, cooler, and massively more efficient.
We're a well-funded startup backed by Mayfield and led by veterans who've built and scaled some of the most transformative technologies in the industry. This isn't incremental innovation, it's a ground-floor opportunity to rethink the optical layer from the silicon up. You'll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. If you're looking for mission, momentum, and the chance to make an outsized impact, jump on the rocket ship. We're just getting started.
Position Overview
Lumilens is seeking a Software Engineer - Computer Vision & Robotics to design and build next-generation systems that enable intelligent automation across our manufacturing and photonics platforms. This role sits at the intersection of robotics, AI, and high-performance systems, driving the development of software frameworks that enable machines to perceive, learn, and interact with complex physical environments.
You will play a key role in developing manufacturing automation systems, integrating computer vision and AI-driven algorithms into real-world applications, and optimizing performance across simulation, training, and edge deployment environments. This is a highly cross-functional role working alongside hardware, manufacturing, and systems teams to bring intelligent automation into production at scale.
The ideal candidate brings strong experience in computer vision, ROS and distributed systems, with a track record of building robust, real-time software systems for robotics, autonomous cars or autonomous manufacturing platforms.
Key Responsibilities
Robotics & Software Development
  • Design and develop computer vision and/or ROS/ROS2-based software frameworks for robotics and intelligent automation systems
  • Build systems that enable machines to perceive, interpret, and interact with physical environments using computer vision and AI
  • Develop and integrate perception, localization, and control pipelines for real-world deployment

System Architecture & Performance Optimization
  • Architect scalable, high-performance software systems spanning simulation, training, and edge inference
  • Debug and optimize ROS-based autonomy stacks, from application layer to system-level drivers
  • Develop tools and methodologies to measure, profile, and improve system performance, latency, and reliability

Computer Vision & AI Integration
  • Implement and integrate computer vision algorithms for detection, tracking, and scene understanding, and analysis of images.
  • Collaborate on AI/ML-driven approaches, including learned policies and model deployment
  • Support integration with accelerated computing platforms (e.g., GPUs) for real-time processing

Cross-Functional Collaboration
  • Partner with hardware, manufacturing, and systems teams to deploy robotics and visual computing solutions in production environments
  • Collaborate with internal and external teams to integrate cutting-edge technologies and frameworks
  • Contribute to system bring-up, testing, validation, and deployment
  • Drive adoption of best practices and emerging standards in robotics software development

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Robotics, or related field
  • Experience in robotics, systems software, or related domains
  • Strong expertise in Computer Vision algorithms, ROS/ROS2, including middleware, simulation tools, and debugging workflows
  • Proficiency in C/C++/Python and strong foundation in data structures and algorithms
  • Experience with distributed systems and/or embedded software
  • Experience in deep learning frameworks (e.g. Pytorch, TensorFlow)
  • Working knowledge of Windows and Linux based systems
  • Hands-on experience debugging complex system-level issues in real-time environments
  • Strong problem-solving skills and ability to operate in fast-paced, evolving environments

Preferred Qualifications
  • Experience contributing to ROS frameworks, libraries, or open-source robotics projects
  • Background in computer vision, perception systems, 3D point cloud or AI/ML for physical systems
  • Experience with robot simulation and training platforms (e.g., Isaac Lab/Sim, Isaac Gym, MuJoCo, Gazebo)
  • Experience with GPU acceleration and performance optimization
  • Exposure to robotics in manufacturing or production environments
  • Proven track record including publications in relevant conferences and journals
  • Proven record in competitive robotics will give you an edge

What We Offer
  • Competitive compensation, including meaningful equity participation
  • Comprehensive health, dental, and vision insurance
  • Opportunity to work on cutting-edge AI, robotics, and photonics technologies
  • Direct impact on next-generation manufacturing and intelligent systems
  • Collaborative environment with world-class engineering talent
  • Dynamic, fast-paced startup environment with significant growth opportunities

Apply