AI-enhanced for better readability
Founding Infrastructure Engineer at VLM Run
Location: In-Person (Bay Area)
Type: Full-time
Website: vlm.run
About Us
We’re building the inference platform for visual intelligence. We’re a deeply technical team of AI / computer-vision engineers (20+ years combined, MIT/CMU/NC State PhDs) who’ve shipped production ML infra across autonomous driving and LLMs.
We launched the VLM Run Gateway in September, a unified API that serves open-weight VLMs, embodied VLAs, and ViTs across a fleet of GPUs and clouds. We are currently scaling to serve hundreds of thousands of requests per day.
About the Role
This role will own the infrastructure challenges associated with our unified API and GPU fleet.
Requirements
- Location: Must be in the Bay Area (please specify this in your email subject).
- Experience: Proven track record with ML infrastructure.
- Technical Skills: Experience with Ray, Kubernetes (k8s), GPUs, and serverless architectures.
- Portfolio: Please provide your GitHub profile, relevant papers, and ML projects you’ve recently shipped (100+ GitHub stars required).
How to Apply
Email us at hiring@vlm.run.
- Keep your email short (shorter emails are more likely to get a response).
- No AI-generated text, please.
- Include your GitHub profile, papers, and relevant ML projects.
- Specify your location in the email subject line.