Software Development Engineer Intern

CHS OU Ambarella (Shanghai) Company Ltd

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US Headquarters Until 8/23/2026 First posted March 18, 2026 Last posted March 18, 2026
Job description

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.
About this role

Summary

Develop software tools for embedded computer vision and automotive systems, focusing on performance and features.

Job title

Software Development Engineer Intern

Experience level

entry level

Industry

software

Location requirements

located at US headquarters, remote not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

CC++Pythonprocessor architecturecompiler designimage processingmachine learningembedded firmware

Preferred skills

None specified

Specializations

embeddedcomputer visionmachine learningperformance optimization
Locations

Structured locations inferred from the posting.

Unknown location

Work arrangement unknown