The Agent Infra team builds the infrastructure that runs autonomous AI agents at Roblox for millions of creators building experiences on our platform, and for thousands of Roblox engineers shipping production code every day.
Agent workloads break the assumptions most infrastructure is built on. They run for hours instead of milliseconds, they're non-deterministic, they execute code nobody wrote, and they need real credentials against real systems to be useful at all. Making that safe, durable, and cost effective at Roblox's scale is the hard problem our team is solving.
As an early member of the Agent Infra team you'll work alongside an experienced engineering team on systems that are already in front of real users, at scale, in a field that didn't exist two years ago.
You Are- Early in your career: 1-3 years of professional experience or a recent grad; with strong CS fundamentals and an interest in learning infrastructure, distributed, and agentic systems.
- Someone who builds things: You have projects, internships, or open-source work you'd genuinely enjoy walking us through.
- Into AI agents. You've built something with them, even something small, and you can tell us what broke.
- Comfortable writing real code in Go, Python, Rust, or similar, and quick to pick up whatever you haven't used yet.
- A fast learner who asks good questions, digs into things you don't understand, and doesn't wait to be told what to do next.
You Will- Build and shape the platform that runs Roblox's agents; across internal and external products at massive scale.
- Work on agentic infrastructure, ensuring that we're able to build optimal, security and scalable systems, whilst keeping pace with new advances in the industry.
- Continually learn and adjust your understanding of the systems we are building and what is capable with AI agents.
- Experiment and share your agentic workflows, ensuring that the Agent Infra team is helping shape the future of work at Roblox.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on
this page.
Annual Salary Range
$153,120-$196,750 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
