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Virtual Image Processing Intern Jobs (NOW HIRING)

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test ... Familiarity with image processing and video compression standards (e.g., MPEG, H.264/265). Must ...

Our Science and Technology team is seeking an intern within the Image Quality group to investigate artifact reduction techniques as part of the computed tomography (CT) reconstruction process. This ...

$20/hr

... image processing, and machine learning by helping build a realworld document processing pipeline. Responsibilities include implementing OCR workflows using Azure Document Intelligence, OpenCV, and ...

Research Intern

Torrance, CA · On-site

$30 - $32.65/hr

Our Science and Technology team is seeking an intern within the Image Quality group to investigate artifact reduction techniques as part of the computed tomography (CT) reconstruction process. This ...

As a Robot Optics Intern at Neuralink, you will build, characterize, and calibrate optical and ... Develop image acquisition and processing software * Conduct preliminary tests of new imaging ...

Multimedia development intern

Palo Alto, CA · On-site

$28.27 - $60/hr

... image processing. Proficiency in programming languages such as C/C++, Python, or similar. Ability to communicate/collaborate with other researchers/engineers Ability to think out of box. Location ...

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Virtual Image Processing Intern information

What does a Virtual Image Processing Intern do?

A Virtual Image Processing Intern assists with analyzing, editing, and enhancing digital images using specialized software and algorithms, often working remotely. Their tasks may include cleaning up images, applying filters, extracting information, or developing automated workflows for image analysis. The role provides hands-on experience in fields like computer vision, machine learning, and digital imaging, and interns often collaborate with engineers and researchers. This position helps build technical skills and can lead to careers in imaging, graphics, or artificial intelligence.

What are the key skills and qualifications needed to thrive as a Virtual Image Processing Intern, and why are they important?

To thrive as a Virtual Image Processing Intern, you need foundational knowledge in image processing concepts, programming (often Python or MATLAB), and a relevant degree in computer science or engineering. Familiarity with tools and libraries such as OpenCV, scikit-image, TensorFlow, and image annotation platforms is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in collaborative virtual environments. These skills ensure you can efficiently process, analyze, and interpret image data while working seamlessly with a distributed team.

What types of projects and tasks can a Virtual Image Processing Intern expect to work on during their internship?

As a Virtual Image Processing Intern, you can expect to work on a variety of projects such as image enhancement, object detection, and developing algorithms for image segmentation. Daily tasks may include preprocessing image datasets, implementing and testing computer vision models, and collaborating with team members to optimize processing pipelines. You’ll often use programming languages like Python and libraries such as OpenCV or TensorFlow. Interns typically work closely with both engineers and data scientists, gaining hands-on experience with real-world image datasets and industry-standard tools.

What is the difference between Virtual Image Processing Intern vs Image Processing Intern?

AspectVirtual Image Processing InternImage Processing Intern
CredentialsTypically pursuing or holding a degree in computer science, computer vision, or related fieldsSimilar credentials, often students or recent graduates in related disciplines
Work EnvironmentPrimarily remote or virtual work, using software tools and cloud platformsOften in-office or hybrid, working with physical hardware or on-site labs
Industry UsageCommon in tech companies, startups, and research institutions focusing on virtual or digital image processingUsed across industries like manufacturing, healthcare, and media for physical image analysis

In summary, Virtual Image Processing Interns focus on digital and virtual environments, often working remotely with software tools, while Image Processing Interns may work in physical settings with hardware. Both roles require similar educational backgrounds but differ mainly in work environment and industry application.

More about Virtual Image Processing Intern jobs
What cities are hiring for Virtual Image Processing Intern jobs? Cities with the most Virtual Image Processing Intern job openings:
What states have the most Virtual Image Processing Intern jobs? States with the most job openings for Virtual Image Processing Intern jobs include:
What job categories do people searching Virtual Image Processing Intern jobs look for? The top searched job categories for Virtual Image Processing Intern jobs are:
Infographic showing various Virtual Image Processing Intern job openings in the United States as of June 2026, with employment types broken down into 7% As Needed, 33% Full Time, and 60% Part Time. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.
Software Engineer Intern

Full-time

Posted 29 days ago


Job description

AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test of advanced imaging and video algorithms across our line of proprietary SoCs. As a member of our team, you will be working with industry-recognized scientists and architects to bring our superior video quality to a variety of camera markets including automobile, IP-security and more.

For this position, we are seeking a talented intern with a particular interest in the firmware and tools development for a variety of camera markets.

Responsibilities:

  • Develop a deep understanding of Ambarella's DSP architecture to ensure the efficient use of hardware resources such as CPU cycles and memory during code development.
  • Design and develop microcode within the boundaries defined by the relevant algorithm and DSP hardware.
  • Research papers and implement some of the ideas on DSP.
  • Develop test codes for hardware blocks.

Requirements:

  • A Bachelor's degree in EE, computer engineering, CS or equivalent. Current master students in one of these aforementioned disciplines are preferred.
  • Solid experiences with C or C++..
  • Some experience with assembly code development and debugging.
  • Solid knowledge of scripting languages such as Perl or python.
  • Understand modern computer architecture including registers, interrupts, threads, on-chip memory and DRAM. Must be able to resolve data synchronization issues with computer architecture.
  • Must be comfortable with modern software development methodologies such as code review, unit testing, peer reviews, and more.
  • Familiarity with image processing and video compression standards (e.g., MPEG, H.264/265). Must have basic knowledge of video representation.
  • Familiarity with Neural Network frameworks such as TensorFlow, caffe, pytorch etc.
  • Excellent verbal and written communication skills. Excellent analytical, problem solving and presentation skills.
  • Excellent cross-functional, cross-site teamwork abilities.