Ambarella Inc.
Ambarella Inc.

Algorithm Engineer Intern

• Posted 30+ days ago • Updated 3 hours ago
Full Time
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Video
  • Streaming
  • Robotics
  • Algorithms
  • Transformer
  • Research
  • Large Language Models (LLMs)
  • Computer Science
  • Electrical Engineering
  • Deep Learning
  • Computer Vision
  • Semantics
  • Language Models
  • ROS
  • Sensors
  • Debugging
  • Artificial Intelligence
  • Kubernetes
  • PyTorch
  • Python
  • C
  • C++
  • CUDA
  • Communication

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10215727
  • Position Id: 12481309d79396506138c7ada819d4b
  • Posted 30+ days ago
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