Member of Technical Staff, Product Engineering

Physical Superintelligence•Boston, MA

6d•Hybrid

About The Position

Physical Superintelligence (PSI) is a stealth startup founded by individuals with backgrounds at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute. PSI is focused on building AI systems to discover new physics at scale. The company is seeking engineers to develop platform infrastructure at the intersection of computational science, AI systems, and software engineering. The mission is to discover and commercialize transformative physics breakthroughs using artificial superintelligence, ensuring safety, verifiability, and broad public benefit. PSI aims to unlock a new era of physics discovery, similar to the impact of transistors and lasers from the last century's advancements, by industrializing scientific discovery with AI. The role involves owning customer-facing product surfaces end-to-end. This includes designing and building web applications, dashboards, and workflow interfaces for physicists, researchers, and engineering teams to run physics discovery on the platform. The emphasis is on creating clear information hierarchy, fast interactions, and real-time feedback for long-running scientific workflows. The goal is to translate raw platform capabilities into a user-friendly product experience, making the complex processes of AI agents (running simulations, searching experiment spaces, producing results) legible and actionable for scientists. The role requires building for scale from the outset, with a focus on component architecture, performance, accessibility, and observability. Product decision-making is a key aspect, requiring collaboration with other engineers, platform engineers, physicists, and product managers to determine what to ship and how it should function. Strong product judgment, engineering rigor, and visual taste are essential.

Requirements

Five or more years building production user-facing products at companies known for engineering and product rigor.
Shipped polished product surfaces that real users depend on, not internal tools or one-off prototypes.
Deep fluency with the modern frontend stack: TypeScript, React or comparable, the build and bundling layer, state management, and performance characteristics.
Experience with component architecture and the ability to defend design choices.
Strong product and design instincts.
Ability to read a specification, identify missing elements, propose improvements, and collaborate with designers and product peers.
Ability to carry product weight independently when a dedicated product role does not yet exist.
Comfort working across the stack into APIs, data layers, and platform integration.
Experience building systems that handle real-time updates, streaming results, and partial failures gracefully.

Nice To Haves

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 a level where you can produce mockups and design tokens yourself.
Open-source contributions to frontend frameworks, component libraries, or design systems that the broader community has adopted.

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.
Ensure clear information hierarchy, fast interactions, and real-time feedback on long-running scientific workflows.
Translate raw platform capability into product experience.
Build interfaces that make agentic physics legible, not opaque, to a working scientist.
Build for scale from day one, considering component architecture, performance, accessibility, and observability.
Drive product decisions, not just implementation.
Partner with other engineers, platform engineers, physicists, and product managers to decide what to ship and how it should feel.
Work across the stack into APIs, data layers, and platform integration.
Build systems that handle real-time updates, streaming results, and partial failures gracefully.