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Internship Computer Vision Robotics Jobs in California

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

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 ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

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 ...

Qualcomm

Computer Vision Engineer

San Diego, CA · 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 ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

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 ...

Meta

Computer Vision Engineer

Sunnyvale, CA

$183K/yr

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 ...

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 - $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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$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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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.
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

Computer Vision Engineer

Reliance One

Mountain View, CA

$70 - $75/hr

Full-time

Medical, Vision, PTO

Posted 2 days ago

New

Job description

Computer Vision Engineer

Location: Mountain View, California (On-site)

Employment Type: Contract Opportunity

Pay: $70.00-$75.00/hour

Schedule: Full-time

Benefits: Medical Benefits Begin Day 1, Paid Time Off, Paid Holidays


Position Overview

Reliance One, Inc. is seeking an innovative Computer Vision Engineer to develop next-generation AI-powered perception systems for intelligent mobility and automotive applications. This role focuses on researching, prototyping, and deploying advanced computer vision and machine learning solutions using state-of-the-art AI technologies. The ideal candidate is passionate about transforming cutting-edge research into real-world applications that power the future of connected and autonomous vehicles.


Key Responsibilities

  • Develop proof-of-concept systems using state-of-the-art AI and computer vision technologies.
  • Design and implement computer vision algorithms for object detection, tracking, semantic and instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
  • Build AI solutions utilizing Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.
  • Evaluate and adapt emerging AI research and open-source models for automotive and intelligent mobility applications.
  • Integrate camera, vehicle, and sensor data to develop AI-driven perception systems.
  • Develop and deploy AI software on embedded and edge computing platforms for in-vehicle applications.
  • Design real-time perception systems optimized for compute, latency, memory, power consumption, and reliability.
  • Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.
  • Prototype and evaluate end-to-end AI solutions on embedded hardware, research vehicles, and proof-of-concept platforms.
  • Collaborate with researchers, software engineers, and systems engineers to deliver innovative AI solutions.
  • Stay current with advancements in computer vision, multimodal AI, edge AI, and intelligent transportation technologies.


Required Qualifications

  • Master's degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related technical field.
  • Strong background in Computer Vision and Machine Learning.
  • Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.
  • Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures.
  • Strong programming experience in Python and C++.
  • Experience reproducing and extending published AI and computer vision research.
  • Familiarity with Linux development environments.
  • Excellent verbal and written communication skills.


Preferred Qualifications

  • Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
  • Experience with technologies such as CLIP, Segment Anything (SAM), DINOv2, BEV-based perception models, or similar cutting-edge vision architectures.
  • Experience with Generative AI and synthetic data generation.
  • Embedded Linux software development experience.
  • Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or other inference optimization frameworks.
  • Experience deploying AI models on edge devices and automotive computing platforms.
  • Familiarity with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.
  • Experience with ROS/ROS2, sensor fusion, robotics, or autonomous vehicle systems.
  • Automotive, robotics, autonomous systems, or intelligent transportation industry experience.
  • Publications in leading AI, robotics, or computer vision conferences are a plus.


Why Join This Opportunity?

  • Competitive pay of $70-$75/hour.
  • Medical benefits beginning on Day 1.
  • Paid Time Off and Paid Holidays.
  • Opportunity to work on cutting-edge AI, computer vision, and autonomous mobility technologies.
  • Collaborative environment focused on innovation and advanced research.
  • Contribute to the future of intelligent transportation and next-generation automotive systems.


Reliance One, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.


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