Platform Engineer (AI)

Location: United States; San Francisco, California preferred. Remote work is currently available.

Salary: $180,000–$250,000 base annually, plus equity.

Company

Early-stage, venture-backed AI infrastructure startup building a hardware-agnostic inference platform for open-source models across different types of silicon.

What you will do

• Own the platform engineering vertical end to end, from user interface to infrastructure.
• Build and operate backend services and Kubernetes-based platform infrastructure.
• Design customer onboarding, virtual machine onboarding, and fraud detection systems.
• Make architecture, tooling, and vendor decisions independently within agreed constraints.
• Deliver against high-level goals and communicate technical approaches and outcomes.
• Operate costly GPU and high-performance compute infrastructure responsibly.

Requirements

• 3–5 years of software engineering experience.
• Full-stack capability across user interfaces, backend systems, and Kubernetes or platform infrastructure.
• Prior startup experience and a track record of owning systems end to end.
• Ability to make significant technical decisions autonomously.
• Experience with GPU infrastructure, bare-metal orchestration, or high-performance computing is strongly preferred.
• Willingness to work demanding hours in an early-stage company.

Culture & Benefits

• Small, senior team operating with trust and ownership.
• High autonomy over implementation decisions within agreed outcomes and constraints.
• Opportunity to shape the platform from its foundations.
• Meaningful equity participation.