Posting record
Open 17+ days
- Ambarella's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ambarella, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
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Skills mentioned
About the role
AI Vision Processors For Edge Applications
Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.
Job Description
Ambarella has some exciting internship opportunities for self-motivated and creative students near completing of their master's degree. We are looking for talented software programmers who possess a strong interest in computer architecture, VLSI design, image processing, video compression, and computer vision.
Architecture interns study hardware and software trade-offs present in the latest version of our chips and explore uses of both to solve real-world problems. Interns may develop software models of important behaviors in hardware co-processors such as memory bandwidth and pipeline latency or develop visualization tools to illustrate architecture behavior. Interns produce support tools to enable software to make efficient use of hardware co-processors. A final presentation at the end of the internships describes their findings and allows other team members to use their work for ongoing projects.
The internship program requires experience in modern programming languages and computer architecture. C++, C, Python, and CUDA are our popular tools. Exposure to common neural networks frameworks such as PyTorch helps. We expect that interns will be able to pick up missing skills quickly, deliver their assignments on time, and present their work at the end of the program.
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