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Ambarella

Edge AI vision processors for cameras

Staff System Software Engineer - Embedded AI & Algorithm

Computer VisionConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA

About the Job

Requirements

  • A Master’s or PhD degree in Computer Science or Electrical Engineering.
  • Five to eight years of experience with edge devices.
  • Strong programming skills in Python and C/C++.
  • Experience with deep learning and its applications to computer vision.
  • Experience developing or using deep learning frameworks such as TensorFlow, Keras, PyTorch, or ONNX.
  • Experience optimizing deep learning or machine-learning algorithms, including retraining, quantization, or pruning.

Responsibilities

  • Develop machine-learning and computer-vision algorithms and systems.
  • Train and optimize deep-learning and machine-learning-based computer-vision algorithms for edge devices.
  • Validate and assess performance on large-scale datasets.

Desired Qualifications

  • Experience in image-quality tuning, image-processing algorithms, and image-processing pipelines.

About the Company

Ambarella

Edge AI vision processors for cameras

Ambarella develops AI vision processors for edge devices to extract meaningful insights from high-resolution video. Its chips and software run locally on cameras and embedded systems, enabling real-time analytics for applications such as ADAS, smart mirrors, drive recorders, security cameras, and industrial robotics, without sending data to the cloud. Revenue comes from licensing its AI vision processors and related software to manufacturers who integrate the tech into their products. The company differentiates itself by focusing on on-device, low-latency processing across automotive, security, consumer IoT, and industrial robotics markets, and by expanding capabilities through acquisitions like Oculii to add radar perception AI algorithms. Ambarella’s goal is to empower real-time, local decision-making in cameras and sensors, enabling safer, more capable edge devices across multiple industries.

Company size
501-1,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2004

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