Physical Superintelligence
AI
MemberofTechnicalStaff,ProductEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Member of Technical Staff, Product Engineering at Physical Superintelligence. Skills: frontend stack, product surfaces, platform infrastructure. Own the customer-facing product surfaces at PSI end-to-end. Design and build the web applications, dashboards, and workflow interfaces”
What You'll Achieve.
discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence; unlock the next [golden age of physics]; industrialize scientific discovery and usher in this new era; new physics, at scale
Industry & Context.
identify what is missing; propose what should be there
on-call
What They're Looking For.
Must Have
Five or more years building production user-facing products at companies known for engineering and product rigor, Deep fluency with the modern frontend stack: TypeScript, React or comparable, the build and bundling layer, state management, and performance characteristics, Comfort working across the stack into APIs, data layers, and platform integration
Nice to Have
Background in scientific computing, technical product surfaces (developer tools, data platforms, research interfaces), or other domains where the user is technical and the underlying capability is non-trivial, Experience as the first or near-first product engineering hire at a fast-growing company, with a track record of standing up the function as the company scales, Design tooling fluency (Figma, prototyping, design system construction) at the level where you can produce mockups and design tokens yourself when needed, even if a designer eventually owns them, Open-source contributions to frontend frameworks, component libraries, or design systems that the broader community has adopted
What You'll Do.
Own the customer-facing product surfaces at PSI end-to-end
Design and build the web applications
and workflow interfaces
Translate raw platform capability into product experience
Build the interfaces that make agentic physics legible
to a working scientist
Build for scale from day one
Drive product decisions
not just implementation
How You'll Work.
Team & Collaboration
partner with other engineers, platform engineers, physicists, and product managers
Full Job Description
OVERVIEW Physical Superintelligence is a stealth 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 AND RESPONSIBILITIES - Own the customer-facing product surfaces at PSI end-to-end. Design and build the web applications, dashboards, and workflow interfaces that physicists, researchers, and engineering teams use to run physics discovery on our platform. Every screen ships with intent: clear information hierarchy, fast interactions, real-time feedback on long-running scientific workflows. - Translate raw platform capability into product experience. Our AI agents run multi-hour physics simulations, search experiment spaces, and produce results that users need to monitor, compare, and act on. Build the interfaces that make agentic physics legible, not opaque, to a working scientist. - Build for scale from day one. Component architecture, performance, accessibility, and observability are first-order concerns, not afterthoughts. - Drive product decisions, not just implementation. You partner with other engineers, platform engineers, physicists, and product managers to decide what to ship and how it should feel. Strong product judgment is the differentiator; visual taste and engineering rigor are both table stakes. WHAT WE'RE LOOKING FOR - F
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