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Algorithm Engineer Intern

Ambarella

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Pay
about $25-$37/hr
When
Summer 2027
Where
Remote

What you'll do

  • Develop deep learning and computer vision algorithms and systems.
  • Design, train, and optimize Transformer models and variants.
  • Stay up to date with the latest research and innovations in multi-modal large language models, embodied AI etc.

What they want

  • PhD or master’s in computer science or electrical engineering or related field.
  • Hands-on experience with deep learning and its applications to computer vision (e.g. object detection and tracking, semantic segmentation, vision language models).
  • Hands-on experience with ROS 2 for robot control, sensor integration, communication, and system debugging.
  • Familiarity with AI compute stack: Kubernetes, Ray, vLLM and PyTorch, onnx etc.
  • Strong programming skills in Python, C/C++, CUDA.
  • Excellent communication skills.
About Ambarella

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Full posting

AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job description

Algorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms for our self-driving car, humanoid robots and a wide variety of Ambarella’s future products.

Responsibilities

  • Develop deep learning and computer vision algorithms and systems.
  • Design, train, and optimize Transformer models and variants.
  • Stay up to date with the latest research and innovations in multi-modal large language models, embodied AI etc.

.

Qualifications

  • PhD or master’s in computer science or electrical engineering or related field.
  • Hands-on experience with deep learning and its applications to computer vision (e.g. object detection and tracking, semantic segmentation, vision language models).
  • Hands-on experience with ROS 2 for robot control, sensor integration, communication, and system debugging.
  • Familiarity with AI compute stack: Kubernetes, Ray, vLLM and PyTorch, onnx etc.
  • Strong programming skills in Python, C/C++, CUDA.
  • Excellent communication skills.

Dates for this one

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Posted

Aug 27, 2026

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