Job Description
Algorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms for our self-driving car 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.
- Assist in creating and curating high-quality datasets for model distillation and supervised fine-tuning.
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).
- Familiarity with AI compute stack: Kubernetes, Ray, vLLM and PyTorch, onnx etc.
- Strong programming skills in Python, C/C++, CUDA.
- Excellent communication skills.
Skills Required
- PhD or Master's in Computer Science, Electrical Engineering, or related field
- Hands-on experience with deep learning applied to computer vision (object detection, tracking, semantic segmentation, vision-language models)
- Experience designing, training, and optimizing Transformer models and variants
- Familiarity with AI compute stack: Kubernetes, Ray, vLLM, PyTorch, ONNX
- Strong programming skills in Python, C/C++, and CUDA
- Excellent communication skills
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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