Algorithm Engineer Intern

Ambarella; United States; On-site; USD 34,000 - 55,000; Full time

Job summary

Ambarella is seeking algorithm engineer interns to develop efficient algorithms for self-driving cars, humanoid robots, and future Ambarella products.

You will work on deep learning and computer vision systems, designing, training, and optimizing Transformer models, and staying current with research in multi-modal LLMs and embodied AI. Collaboration with software and hardware teams will deploy solutions.

Qualifications

• PhD or master's in computer science or electrical engineering or related field.
• Hands-on experience with deep learning and computer vision applications (object detection/tracking, segmentation, VLMs).
• Experience with ROS 2 for robot control, sensor integration, and system debugging.
• Familiarity with AI compute stack: Kubernetes, Ray, vLLM and PyTorch, ONNX.
• Strong programming skills in Python, C/C++, CUDA.
• Excellent communication skills.

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 in multi-modal large language models and embodied AI.

Skills

Python

C/C++

CUDA

Deep Learning

Education

PhD or Master’s in Computer Science or Electrical Engineering

Tools

ROS 2

Kubernetes

Ray

vLLM

PyTorch

ONNX

Job description

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.

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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.