Member of Technical Staff Engineering
Physical Superintelligence · Boston
About this role
## Overview Physical Superintelligence is a startup building AI systems to discover new physics at scale, with roots across Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute. We’re 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**. We have one product: **new physics, at scale**. > **Note:** This is an application for engineers who don’t see an open role that fits, but want to be considered anyway. --- ## Role & Responsibilities Our platform spans: - Distributed systems - Data infrastructure - Agent systems and evaluation - HPC and scientific computing - Developer platforms - Product engineering - Cloud infrastructure - Security This application is for engineers who are strong across most of the above, **or** unusually deep in something important we didn’t list. **Expectations / bar:** - **Full ownership** from spec → ship → on-call - Systems that **other people build on** - Be specific about where you’d have the most impact and what you’d work on first Applications are reviewed on a rolling basis; we respond only when there’s a strong fit. --- ## What We’re Looking For - A track record of **shipping substantive engineering work** (systems that shipped and mattered) - Infrastructure and open-source contributions that **outlived your tenure** - **Evidence over credentials** - Depth in several areas above, or singular depth in an important area we didn’t list - Ability to walk through a hard technical decision: - what you traded away - what you’d do differently - A concrete reason to be here - If AI + physical science is why you’re applying, say so **specifically** --- ## Nice to Have - Background in any of the named areas: distributed systems, data infrastructure, agent systems & evals, HPC & scientific computing, developer platforms, product engineering, infrastructure, security - Experience in research or scientific computing environments - Something we can read or run: design doc, paper, repo, postmortem --- ## How We Work - High technical bar; **full ownership** from spec to ship to on-call - Write contracts before logic - Test against real systems instead of mocks - Prefer simple designs that ship over clever ones that don’t - Development is **AI-native**: - agentic coding tools daily - specs legible to both humans and agents - leverage-driven execution --- ## Location & Compensation - Based in **Boston** - Remote candidates considered **case-by-case** - Competitive compensation: **salary, benefits, meaningful early-stage equity** We evaluate on: - Technical breadth - Systems thinking - Scientific curiosity - Shipping velocity We’re an equal opportunity employer and value diverse perspectives. --- ## Application Instructions Please mention the word **PREEMINENT** and tag **RMmEwNjo5OGMwOjM2MDA6OjEwMw==** when applying to show you read the job post completely. (Companies can search these words to find applicants that read this and see they’re human.)
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