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Internship Computer Vision Robotics Jobs in California

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded ... Background in subscale aircraft, robotics, or vehicle perception Archer is committed to working ...

Jobtailor

Senior CV/ML Scientist

San Diego, CA · On-site

$140 - $210/hr

Publications at top‑tier venues, open‑source contributions, research internships, or substantial project experience in computer vision, robotics, or embodied AI. * Hands‑on experience deploying ...

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded ... Background in subscale aircraft, robotics, or vehicle perception Archer is committed to working ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. They are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced ...

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

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All JobsComputer Vision Robotics JobsInternship Computer Vision Robotics JobsInternship Computer Vision Robotics Jobs in California

Internship Computer Vision Robotics information

What is an internship computer vision robotics?

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 are the key skills and qualifications needed to thrive as an internship computer vision robotics?

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 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 popular job titles related to Internship Computer Vision Robotics jobs in California?

For Internship Computer Vision Robotics jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Computer Vision Robotics jobs in California look for?

The top searched job categories for Internship Computer Vision Robotics jobs in California are:

What cities in California are hiring for Internship Computer Vision Robotics jobs?

Cities in California with the most Internship Computer Vision Robotics job openings:

Internship Computer Vision Robotics jobs near you

Computer Vision Engineer

Archer

San Jose, CA • On-site

$140K - $260K/yr

Full-time

Posted 21 days ago

Job description

Note: This role must be based onsite in the United States. Visa sponsorship is not available for this position. 

What you'll do: 

  • Develop the onboard perception stack, fusing camera, lidar, and radar data for object detection, tracking, and precision landing capabilities 
  • Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment 
  • Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar 
  • Optimize perception algorithms for real-time performance on embedded compute
  • Analyze test data to characterize and improve perception performance
  • Collaborate with navigation, controls, and hardware teams to integrate perception outputs into the broader system 

What you need: 

  • Strong background in computer vision and/or machine learning, with a degree in a related technical field or equivalent experience 
  • Proficiency in C++ and Python
  • Experience with deep-learning frameworks (PyTorch, TensorRT) and classical CV (OpenCV)
  • Experience processing lidar and/or radar point-cloud data
  • Experience with sensor calibration and multi-sensor fusion
  • Demonstrated ability to take algorithms from concept through real-time, embedded deployment

Bonus Qualifications: 

  • Experience deploying perception models on NVIDIA Jetson / CUDA-based embedded platforms
  • Experience with precision or automated landing systems
  • Background in subscale aircraft, robotics, or vehicle perception

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis. For this position we are targeting a base pay between $140,000 - $260,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

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