> Markdown version of [/jobs/ext/3420614-founding-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3420614-founding-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding Platform Engineer - **Company:** General Computing - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Systems Engineering, Data Centers, Graphics Processing Unit (GPU), Application Specific Integrated Circuits, Large Language Models - **Published:** September 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8c278a28b87209a7 ## About the Role * Strong systems engineering background on cloud control planes/serving infra at scale * Comfort being a high-impact IC rather than a manager * Track record building reliability from scratch * Comfort with hardware heterogeneity/ambiguity * Genuine interest in being an early hire at a ~6-7 person company., * LLM-serving infra experience (vLLM, TGI, Ray Serve, etc.) * Experience running non-NVIDIA accelerators (TPUs/ASICs) in production. ## Description You will build the inference cloud itself - the control plane, API, and serving layer that turn racks into a sellable product. There's no existing platform team to inherit or manage, no legacy system to work around, and no established playbook to follow - just the platform itself to build, with reliability treated as core infrastructure from day one rather than something bolted on after the first outage.The technical problem is also genuinely unsolved elsewhere. The fleet is heterogeneous by design - GPUs for prefill, multiple ASIC vendors for decode - so there's no single-vendor playbook to lean on; you'll be defining how a mixed-hardware inference cloud gets scheduled, routed, and served reliably, in close partnership with the teams standing up the physical fleet., * Build/own the control plane - routing, model placement, scheduling across a mixed ASIC/GPU pool * Build the API and serving layer exposing rack capacity as a sellable product * Build in reliability and observability from day one * Scale the platform ahead of the demand curve * Partner closely with data center deployment and model bring-up teams * Be a founding technical voice on platform architecture