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

Raw Post

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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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Data Source

Content parsed by LLM from Hacker News raw data. Confidence:HIGH

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