Role description

Algorithm Engineer Intern

Ambarella

TypeInternship

SeniorityIntern

LocationUS Headquarters

Posted8/27/2026

Engineering

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.

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.

Relevant archetypes

Apply on Workday

Company info

Ambarella

Ambarella is an AI vision silicon company.

With an installed base of more than 50 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy.

Founded2004

HQSanta Clara, United States

Size501–1,000 employees