Founding Infrastructure Engineer
VLM Run · Artificial Intelligence
unknown
Salary Range (USD)
Negotiable
Location
Location N/A
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • Own the infrastructure problem for the VLM Run Gateway, a unified API serving open-weight VLMs, embodied VLAs, and ViTs across a fleet of GPUs and clouds
- • Build and maintain inference platform for visual intelligence
- • Design and implement scalable, production‑grade ML infrastructure
Required Skills
DockerKubernetesGPU
Engineering Culture & Tech Stack
DockerKubernetesGPU
ownership
founding
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VLM Run (https://vlm.run) | 1x Founding Infrastructure Engineer
We’re building the inference platform for visual intelligence. We’re a deeply technical team of veteran AI / computer-vision engineers (20+ years combined, MIT/CMU PhDs) who’ve shipped production ML infrastructure across autonomous driving and LLMs.
We just launched the VLM Run Gateway (https://vlm.run/gateway), 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.
If you’re interested, email us at hiring@vlm.run with your GitHub profile and link to projects you’ve recently built - especially with docker, k8s, GPUs.
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