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Member of Technical Staff

Jack & Jill

Job Title Member of Technical Staff: Infrastructure Salary Not Disclosed Company Description Observable Intuition is an early‑stage AI infrastructure company founded by a team with Nature publications and Google DeepMind research funding, building the layer that makes real‑world human experience observable and learnable for AI systems. Job Description As the first infrastructure hire, you will build a production inference platform from the ground up. You’ll design portable, multi‑tenant systems capable of running across managed clouds and air‑gapped environments for Fortune 500 enterprises. This is a foundational role shaping how the next generation of AI learns from human experience and judgment. Location San Francisco or New York, USA Why this role is remarkable Founding engineer opportunity to define technical architecture and culture alongside a high‑pedigree team with DeepMind credentials and Nature‑published research. Solve unique engineering challenges involving high‑volume data processing and model serving in strictly isolated, air‑gapped enterprise environments where no blueprint exists. Receive significant equity as a foundational team member building a critical infrastructure layer used by some of the world's largest organizations. What You Will Do Own the end‑to‑end production inference platform, optimizing model serving, orchestration, and GPU workloads for performance, latency, and cost. Architect a portable, multi‑tenant infrastructure that maintains rigorous security isolation across managed cloud, customer‑owned hardware, and fully air‑gapped environments. Partner directly with the founders to shape the technical strategy, model lifecycle, and infrastructure roadmap for the next generation of intelligent systems. The ideal candidate Extensive experience operating compute‑intensive distributed systems or production ML infrastructure using tools like Kubernetes, Terraform, and high‑performance orchestration layers. Proven track record of designing multi‑tenant platforms with rigorous isolation boundaries and handling complex data‑processing pipelines at scale. Ability to work with substantial autonomy as an early engineering hire, building robust systems from scratch without established blueprints or existing processes. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. #J-18808-Ljbffr

Vacancy posted 2 days ago
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