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Physical Superintelligence
Boston, Massachusetts, United States
Source: Physical Superintelligence careers · View original posting
From Physical Superintelligence's posting. “We” and “our” refer to the employer.
Overview
Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale. We are seeking engineers to build platform infrastructure at the intersection of computational science, AI systems, and software engineering.
Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
The last century's golden age of physics gave us transistors, lasers, and nuclear energy. We believe artificial superintelligence will unlock the next one. We're creating the infrastructure to industrialize scientific discovery and usher in this new era.
We have one product: new physics, at scale.
Role
We are seeking a Member of Technical Staff, Infrastructure & Operations to own the path from commit to production for a codebase where most commits are written by AI agents, faster than any human reads them. Human review does not scale against that. CI does, and what CI enforces is the real architecture of how we ship: you decide what it enforces, and you build it, across an estate that spans GCP and specialist GPU providers, on a network you design and a failover you rehearse.
You are building this from a thin starting point rather than inheriting a mature one. Every other team here ships through what you build.
This role is based in Boston. We will consider remote candidates on a case-by-case basis. We offer competitive compensation including salary, benefits, and meaningful early-stage equity. We evaluate on technical breadth, systems thinking, scientific curiosity, and shipping velocity. We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.
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