Developer Relations Engineer
San Francisco, Los Angeles$160k - $200kFull-timePosted 2mo ago
About the role
Engineer role that operates in public, using Vast.ai to rent GPUs, build and deploy open-source models, and report friction back to engineering. Focused on running workloads, creating public repos and benchmarks, and acting as a highly credible technical voice in community channels and at events.
Responsibilities
- Run real workloads on Vast every week. Deploy, fine-tune, and serve open source models, and keep live endpoints running.
- Build public example repos, Docker templates, and benchmarks that developers can clone and use.
- Turn what you build into teaching: guides, short videos, talks, livestreams.
- Be the most technically credible voice in our Discord, on Reddit, and on X.
- Represent Vast at hackathons and conferences, roughly one trip a month.
- Report the friction, the breakage, and the missing docs straight to engineering and product.
Qualifications
- You can take an open source model from Hugging Face to a running endpoint on rented GPUs with nobody helping you. Linux, Docker, Python, SSH.
- You can debug the GPU stack. Driver and CUDA mismatches, out of memory errors, and multi-GPU configuration including NCCL and topology issues do not scare you.
- Public proof of work you have shipped. A GitHub profile, technical writing, or live projects. We will ask you to walk us through code you wrote and explain the parts that went wrong.
- You work without a roadmap and prefer it that way. Nobody here will hand you a task list.
- You can explain a hard thing clearly, in writing and out loud.
Skills
Required:Open-source model deploymentLinuxDockerPythonSSH
Benefits
- Health, dental, vision, and life insurance.
- 401(k) with company match.
- Meals on site.
- Travel and conference budget.
Last updated Aug 23, 2026. Interested? Apply on the company site.
About Vast AI
Rent GPUs | Vast.ai
Rent high-performance cloud GPUs at low cost with Vast.ai. Instantly deploy GPU rentals for AI, machine learning, deep learning, and rendering. Flexible pricing, fast setup, and global availability
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