About this role
The AI, HPC & GPU Infrastructure Support Engineer role at Vast.ai in Los Angeles is a full-time position focused on managing and troubleshooting advanced computing environments for AI projects. This role suits professionals with strong Linux and NVIDIA GPU expertise who enjoy solving complex technical issues and supporting distributed systems.
Role Overview
This position centers on troubleshooting complex Linux and GPU infrastructure issues across NVIDIA drivers, CUDA, GPU workloads, Ubuntu, Docker, KVM virtual machines, networking, hardware, BIOS, and firmware. The person in this role will investigate failures, reproduce problems, identify root causes, and propose practical solutions across the full infrastructure stack. Serving as the primary engineering resource for escalated tickets, this engineer will handle complex issues end-to-end, coordinate with various teams, and communicate findings clearly to clients, suppliers, and internal staff. The work schedule offers options for fully on-site Monday through Friday or a hybrid setup working four days on-site and one day from home from Sunday through Thursday.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Powered by Vast.ai, the company cloud supports AI projects and businesses across the globe with a mission to organize, optimize, and orient the world's computation. The organization values elegance, ownership, integrity, and continuous learning, offering team members the opportunity to work with state-of-the-art AI systems alongside a globally distributed team.
How to Apply
Apply directly on the official Vast.ai careers page to submit your application and begin the interview process.
Skills and tech stack
Questions candidates ask
What is the salary range for this position?
The annual salary range is $90,000 to $150,000 USD, supplemented by equity and benefits.
Where is the job located?
The position is based in the Westwood, Los Angeles office with options for a fully on-site schedule or a hybrid schedule working four days on-site and one day from home.
What are the core technical requirements?
Candidates must have strong Linux systems operations experience, Docker proficiency, virtualization platform experience, networking fundamentals, hands-on NVIDIA GPU and CUDA troubleshooting skills, and Python and Bash scripting abilities.
What benefits are included?
Benefits include comprehensive health, dental, vision, and life insurance, a 401(k) with company match, early-stage equity, and onsite meals and snacks.
What does the interview process look like?
The process takes about one week and includes a 15-minute virtual initial screening, a 45-minute virtual experience interview, and a 2-hour on-site meet and greet with a technical assessment.