About this role
Vast.ai is hiring a full-time Senior Infrastructure Engineer to design and scale core systems for its global GPU marketplace based on-site in Los Angeles, California. This role suits an experienced engineer with a strong background in distributed systems and cloud infrastructure who wants to help democratize decentralized AI computing.
Role Overview
As a Senior Infrastructure Engineer, the chosen candidate will help design and scale the underlying compute systems that power Vast.ai's global GPU marketplace. Working directly with the founders and core engineering team, the employee will extend compute infrastructure spanning billing, scheduling, GPU provisioning, orchestration, and marketplace dynamics. The position is full-time and requires working on-site at the company office in Los Angeles.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Vast.ai operates a cloud network that powers artificial intelligence projects and businesses globally. The organization aims to democratize and decentralize AI computing to reshape the future for humanity. Featuring a flat structure and a growing, highly motivated team, Vast.ai rewards leadership by shipping excellence and seeks professionals with strong intrinsic drive and a passion for advancing state-of-the-art technology.
How to Apply
Interested candidates should visit the official Vast.ai careers page to submit their application for review by the technical team.
Skills and tech stack
Questions candidates ask
What is the salary range for the Senior Infrastructure Engineer position?
The annual salary ranges from $200,000 to $330,000 USD.
Is this a remote position?
No, this is a full-time, on-site role located at the company office in Los Angeles, California (or San Francisco).
What programming languages are required?
Candidates must have strong programming skills in Python and C++.
What benefits are included with this role?
Benefits include comprehensive health, dental, vision, and life insurance, a 401(k) with company match, meaningful early-stage equity, and onsite meals and snacks.
What does the interview process look like?
The process includes an initial virtual screening, a quick dive into work history, a systems and architectures discussion, an LLM-assisted coding assessment, and an on-site meet and greet with a coding assessment.