Founding Infrastructure Engineer
VLM Run · Artificial Intelligence
unknownRemote
Salary Range (USD)
Negotiable
Location
Bay Area, USA
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • Own the infrastructure for the VLM Run Gateway API serving open-weight VLMs, embodied VLAs, ViTs across GPU and cloud fleets
- • Scale the platform to handle hundreds of thousands of requests per day
- • Design and implement serverless, GPU‑accelerated workloads
Required Skills
RayKubernetesGPU programmingserverless architectureML project experienceGitHub profile with 100+ stars
Engineering Culture & Tech Stack
RayKubernetesGPUserverless
ownership
founding
deeply technical
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VLM Run (https://vlm.run) | 1x Founding Infrastructure Engineer | In-Person (Bay Area) | Full-time
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 (https://vlm.run/gateway) in September, a unified API that serves open-weight VLMs, embodied VLAs, ViTs, served across a fleet of GPUs and clouds. That's exactly the infrastructure problem this role will own. We're already scaling to serve 100s of thousands of requests per day, so if this sounds exciting to you, read on.
Email us at hiring@vlm.run with your GitHub profile, papers, ML projects you’ve recently shipped (100+ GH stars only) - especially with Ray, k8s, GPUs, serverless. No AI text please, keep it short, shorter emails are more likely to get a response. No remote work, must be in the Bay Area (specify in email subject).
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