Staff System Software Engineer - Embedded AI & Algorithm
External
Ambarella · HeadquartersPrepare for this interview
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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.
Benefits
Additional Information
AI Vision Processors For Edge Applications Our 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.
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