AI Infrastructure Engineer Intern (Compute Efficiency & Scheduling) - 2027 Summer
AI Scheduler Development
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $43 / hour. Most postings never say.
- Posted in the last 24 hours.
The gist
This internship involves improving AI-driven scheduling systems to enhance compute efficiency at scale. You'll work on real projects that impact global infrastructure, using programming languages like Go and Python. Ideal for students with a background in systems or distributed computing.
What you would actually do
- Build tools for global platform reliability and self-management
- Work on AI-driven scheduler to optimize workload placement
- Use Go, C++, Python, or Java in a 12-week summer role
Skills mentioned
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.