Infrastructure Engineer
Prior Labs
Prior Labs builds foundation models for tabular data (TabPFN) and ships open-weight models used in production across domains. This role involves owning large-scale multi-cluster GPU training and the associated multi-million euro compute budget; the company also hires ML/backend/full-stack engineers, research scientists/engineers, applied scientists, interns and GTM/ops roles.
What you’ll do
- Own multi-cluster GPU training on Slurm and GCP (and additional providers in future).
- Own compute budget (tens of millions a year).
- Own inference end-to-end: latency, batching and memory on million-row inputs across API, customer VPCs and open weights.
- Build product features connecting data scientists, agents and models (TypeScript/React + Python/FastAPI).
What they’re looking for
- Experience with GPU training and cluster orchestration (Slurm mentioned).
- Experience with cloud infrastructure (GCP) and managing large compute budgets.
- Experience optimizing inference: latency, batching and memory for large inputs.
- Full-stack experience with TypeScript/React and Python/FastAPI (for Full Stack Developer role).
Skills
- Slurm: multi-cluster GPU training, Slurm
- GCP: GCP, cloud, multi-provider in future
- GPU: multi-cluster GPU training, compute budget
- TypeScript: TypeScript, Full Stack Developer
- React: React, Full Stack Developer, product where data scientists, agents and our models meet
- Python: Python, ML Engineer, Backend, Full Stack Developer
- FastAPI: FastAPI, Python, Full Stack Developer
The post
Prior Labs | Berlin, Freiburg, NYC | ONSITE | Full-time | https://priorlabs.ai
We build foundation models for tables. TabPFN takes your whole dataset as context and predicts in one forward pass - no training, no tuning - after pre-training only on synthetic data from causal priors. TabPFN v2 was a Nature cover; the open models have 4M+ downloads and run in production from liquid biopsy to rail maintenance. Since July we're an independent lab inside SAP with €1B+ over four years; models stay open-weight and research stays public.
We're hiring engineers:
Infrastructure Engineer - multi-cluster GPU training on Slurm, GCP today and more providers in 2027. The compute budget is tens of millions a year, and you own it.
ML Engineer, Backend - own inference end to end: latency, batching and memory on million-row inputs, across our API, customer VPCs and open weights.
Full Stack Developer - the product where data scientists, agents and our models meet. TypeScript/React + Python/FastAPI.
Also hiring: Research Scientists and Research Engineers (Foundation Model), Applied Scientist (NYC), PhD research interns, GTM and ops roles. We sponsor visas and help with relocation.
~45 people, led by Frank Hutter, advised by Yann LeCun and Bernhard Schölkopf.