Comment by michael_foundry

Foundry [https://mlfoundry.com/] | ONSITE in Palo Alto -or- San Francisco, CA (SF Bay Area) | Full Time

We’re building Foundry to be the cloud compute platform AI developers actually want—no more battling procurement, limited quotas, or clunky tooling. Our platform gives ML engineers frictionless access to high-performance GPUs, clean APIs, and modern infra primitives to train, fine-tune, and serve state-of-the-art models. Backed by Sequoia, Lightspeed, and founders of Databricks, Google Brain, and Scale.

We’re hiring:

>> General Software (SWE) / Infrastructure Engineers << Build our batch + streaming workload engine for ML. Think: GPU scheduling, fault-tolerant execution, rich job DAGs. 0→1 ownership. Apply here: https://job-boards.greenhouse.io/foundrytechnologiesinc/jobs...

>> SRE, Supply (Site Reliability Engineer) << Manage GPU provisioning, spot bidding, and node pool health across clouds and on-prem. Work on the systems behind our global GPU fleet. Apply here: https://job-boards.greenhouse.io/foundrytechnologiesinc/jobs...

>> Solutions Engineers << Help top ML teams succeed on Foundry. Infra + ML intuition a must. Apply here: https://job-boards.greenhouse.io/foundrytechnologiesinc/jobs...

>> Founding Product Manager << Define the roadmap for the most advanced ML infra users. Apply here: https://job-boards.greenhouse.io/foundrytechnologiesinc/jobs...

Looking for compute? We support distributed deep learning workloads, including long-running batch jobs, streaming inference, and GPU autoscaling for LLM training and fine-tuning. https://mlfoundry.com/contact-sales

discovery tags: gpu, kubernetes, hpc, terraform, helm, distributed, ml, training, inference, llm, deep learning, fine tuning, customer, product, api, on-demand, infrastructure, elastic, scalable, cloud, platform