Role description

Software Development 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

We are looking for a Software Engineer intern to work on the software development tools targeting future generations of Ambarella chips for embedded Computer Vision application and Intelligent Automotive Control Systems. The successful candidate will be responsible for designing and implementing new language features and performance optimization tools. As a part of the R&D team you will be working with industry recognized scientists and architects to bring out best performance to the market.

M.S. degree or M.S. Degree (in progress) in Computer Science, Computer Engineering,

or related field.
Excellent in C or C++ programming languages.
Experience with Python scripting languages.
Background in Processor Architecture Design or Modeling; Compiler Design and
Implementation; Image Processing; Machine Learning; Embedded Firmware
Development; Benchmarking or Performance Tuning.
Ability to work independently in a small team and can effectively interact with other
Software/Hardware groups.
Prior working experience in related fields is a plus.

Relevant archetypes

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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