Staff System Software Engineer - Embedded AI & Algorithm

Posted 3 Days Ago
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Headquarters, AZ, USA
In-Office
160K-183K Annually
Senior level
Artificial Intelligence • Computer Vision
The Role
Design, train, optimize, and validate deep learning and computer vision algorithms for edge devices. Implement and optimize models for runtime on Ambarella hardware and assess performance on large-scale datasets.
Summary Generated by Built In
AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

At Ambarella, 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. 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. If you enjoy great rewards, Ambarella has it all, great health, and welfare benefits!

System Software Algorithm engineers at Ambarella research and develop next-generation computer vision algorithms in a wide variety of our future products. We offer a unique opportunity to push the envelope of algorithm design and collaborate across a broad set of disciplines in a small-company environment. Leveraging the capabilities of our hardware and software tool stack, engineers develop fast and accurate deep neural networks that solve complex problems common in intelligent video surveillance camera, autonomous driving, and more general computer vision applications.

Responsibilities

  • Develop ML and computer vision algorithms/systems.
  • Training and optimization of deep learning/ML based computer vision algorithm for edge devices.
  • Validation and performance assessment on large-scale datasets.

Requirements

  • Master or PHD Degree in CS/EE
  • 5 - 8 years of experience with Edge Devices
  • Strong programming skills in Python, C/C++
  • Experience with deep learning and its applications to computer vision.
  • Experience in developing or using deep learning frameworks (e.g., TensorFlow, Kera’s, PyTorch, ONNX, etc.)
  • Experience in optimization of deep learning/ML algorithms (e.g., Retraining, Quantization, Pruning, etc.)
  • Experience in Image Quality Tuning, Image processing algorithm, and Image Processing Pipeline is a plus.
  • Must work in our Santa Clara, CA offices 3 days a week.

The base range is $160,000-$183,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The successful candidate will have the opportunity to convert to a full-time regular position. We also offer new-hire RSU grants and the opportunity for annual RSU grants, as well as other highly competitive benefits.

Skills Required

  • Master or PhD in Computer Science or Electrical Engineering
  • 5-8 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 (TensorFlow, Keras, PyTorch, ONNX)
  • Experience optimizing deep learning/ML algorithms (retraining, quantization, pruning)
  • Experience in image quality tuning, image processing algorithms, or image processing pipelines
  • Ability to work onsite in Santa Clara, CA three days per week
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The Company
HQ: Santa Clara, CA
658 Employees
Year Founded: 2004

What We Do

Ambarella (Nasdaq: AMBA) is a leading developer of visual AI products. Our technologies enable a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver/cabin monitoring, autonomous driving, and robotic applications. Ambarella’s low-power system on chips (SoCs) offer high-resolution video compression, advanced image processing, and powerful deep neural network processing to enable intelligent cameras to extract valuable data from high-resolution video streams. For more information, please visit www.ambarella.com

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