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Computer Vision Intern Jobs in Washington (NOW HIRING)

Ambarella

Software Engineer Intern

Washington, DC · On-site

Microcode summer intern engineers at Ambarella are responsible for the design, implement and test ... advanced computer vision algorithms to tomorrow's intelligent video products. Our target ...

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Computer Vision Intern information

What is a computer vision intern?

A Computer Vision Intern is a student or entry-level professional who assists in developing and implementing computer vision algorithms. Their work typically involves image processing, machine learning, and deep learning techniques to analyze visual data. Interns may contribute to data collection, model training, and fine-tuning neural networks. They often work with programming languages like Python and frameworks such as OpenCV, TensorFlow, or PyTorch. This role provides hands-on experience in applying AI to real-world visual tasks like object detection, image recognition, and video analysis.

What are some typical projects or tasks a computer vision intern might work on?

As a Computer Vision Intern, you may assist in developing algorithms for object detection, image segmentation, or pattern recognition, often working with large datasets to train and test models. Tasks can include data annotation, preprocessing images, building and fine-tuning neural networks, and evaluating model performance. Interns often collaborate closely with software engineers, data scientists, and senior researchers to solve real-world problems and enhance the company's technology stack. This hands-on experience provides valuable exposure to industry-standard tools and methodologies, laying a strong foundation for future roles in AI and computer vision.

What are the key skills and qualifications needed to thrive in the computer vision intern position, and why are they important?

To thrive as a Computer Vision Intern, you need a solid understanding of image processing, machine learning, and programming languages like Python or C++, typically supported by coursework in computer science or related fields. Familiarity with libraries such as OpenCV, TensorFlow, or PyTorch, and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving abilities, teamwork, and effective communication skills will help you succeed in collaborative environments. These competencies are crucial for developing innovative computer vision applications, effectively contributing to project goals, and learning from experienced colleagues.

What are the most commonly searched types of Computer Vision jobs in Washington?

The most popular types of Computer Vision jobs in Washington are:

What are popular job titles related to Computer Vision Intern jobs in Washington?

For Computer Vision Intern jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Computer Vision Intern jobs in Washington look for?

The top searched job categories for Computer Vision Intern jobs in Washington are:

What cities in Washington are hiring for Computer Vision Intern jobs?

Cities in Washington with the most Computer Vision Intern job openings:

Computer Vision Intern jobs near you
Infographic showing various Computer Vision Intern job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 13% Part Time, 2% Temporary, and 9% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Firmware & Vision DSP Intern for Edge AI

Ambarella

Washington, DC • On-site

Other

Posted yesterday

New

Job description

AI Vision Processors For Edge Applications

Our 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.

Combining technical expertise and a commitment to quality, Ambarella has established itself as the industry standard for excellence in video performance by offering pristine imagery, efficient compression, and low-power operation.

For our next phase of growth, we are looking for talented team members to help us deliver our advanced computer vision algorithms to tomorrow’s intelligent video products.

Our target applications include autonomous vehicles, intelligent video surveillance, self-flying drones, smart wearable cameras, 360-degree immersive video, and more.

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