Senior Platform Engineer
talentpluto · Full-time · Posted 3w ago
Location: San Francisco, CA preferred (remote currently)
Work Model: Remote
Industry: AI infrastructure
Compensation: $180K-$250K base, plus equity
Our partner is an early-stage, venture-backed AI infrastructure startup that has raised more than $10M from well-known investors. They run a hardware-agnostic inference platform for open-source models, operating across several kinds of silicon and using intelligent routing and optimization to deliver inference at a meaningfully lower cost than the market. The team is small and senior, and their ambition is to become the default platform for GPU and high-performance compute.
This is the second engineering hire and the owner of the platform. You will be responsible for the entire platform engineering vertical, including the user interface, backend services, customer onboarding, fraud detection, virtual machine onboarding and Kubernetes. The core inference engine is owned separately, so your focus is everything that makes the platform usable, reliable and scalable for customers.
Their team operates on trust and ownership. You and the technical co-founder agree on outcomes and constraints, and the implementation decisions are yours to make. It is a demanding, early-stage environment that suits engineers who want real autonomy, meaningful equity and the chance to shape a platform from its foundations.
New Zealand