---
title: 'Member of Technical Staff, Engineering (General Application) at Physical Superintelligence'
canonical: 'https://feeny.ai/job/member-of-technical-staff-engineering-general-application-physical-bsjmsjkj3b8e'
type: 'job'
last_seen: '2026-09-09'
---

# Member of Technical Staff, Engineering (General Application) at Physical Superintelligence

- **Company:** Physical Superintelligence
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-15
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/psi/ab4a454f-5f4a-4616-95a6-b9509f48d80e

## Job description

## 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

Use this application if you are an engineer, no open engineering role fits your profile, and you want to be considered anyway. We hire excellent engineers when we find them, whether or not a matching role is open. Tell us how your background and ambitions intersect with our mission, and where you would have the most impact.

## RESPONSIBILITIES

- Our platform spans distributed systems, data infrastructure, agent systems and evaluation, HPC and scientific computing, developer platforms, product engineering, cloud infrastructure, and security. This application is for engineers who are strong across most of that list, or unusually deep in something important we did not list. The bar here is higher than any single posting.
- The standard is the same as every engineering role here: full ownership from spec to ship to on-call, and systems other people build on.
- Be specific about where you would have the most impact and what you would work on first.
- We review these applications on a rolling basis and respond only when we see a strong fit.

## WHAT WE'RE LOOKING FOR

- A track record of shipping substantive engineering work: systems that shipped and mattered, open source people depend on, infrastructure that outlived your tenure. We weight evidence over credentials.
- Depth in several of the areas above and the range to move between them, or singular depth in something important we did not list.
- You can walk us through a hard technical decision you made, what you traded away, and what you would do differently.
- A concrete reason to be here. If AI systems and physical science together is why you are applying, say so specifically.

## NICE TO HAVE

- Background in any of our named areas: distributed systems, data infrastructure, agent systems and evals, HPC and scientific computing, developer platforms, product engineering, infrastructure, or security.
- Experience in research or scientific computing environments.
- Something we can read or run: a design doc, a paper, a repo, a postmortem.

## HOW WE WORK

We hold a high technical bar and give people full ownership of their work, from spec to ship to on-call. We write contracts before logic, test against real systems instead of mocks, and favor simple designs that ship over clever ones that do not. Our development process is AI-native: we work with agentic coding tools daily, write specs that are legible to humans and agents alike, and lead with leverage.

## LOCATION AND COMPENSATION

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.

## About Physical Superintelligence

## Company Overview
- **One-liner**: Building the world’s first vertically integrated factory for physical superintelligence to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence.
- **Entity Type**: Private (Public Benefit Corporation)
- **Headquarters**: Boston/Cambridge, MA, USA and San Francisco, CA, USA
- **Founded**: Not publicly available (company website launched April 2026)
- **Founders**: Dr. Alex Wissner-Gross and Matthew Pines (co-founders) [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence)

## Core Business
- Primary industry/industries: Artificial Intelligence, Physics R&D, Scientific Discovery
- Target customers: B2B – organizations with hard physics problems (e.g., energy, materials, defense); also open-source community for its AI copilot.
- Mission or purpose statement: “Discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence – safely, verifiably, and for broad public benefit.” [psi.inc](https://www.psi.inc/)

## Products & Services
- **[Get Physics Done (GPD)]**: An open-source AI copilot built by physicists for physicists – the first agentic AI physicist. Released as open-source software (GitHub stars: 835). [github.com](https://github.com/psi-oss)
- **Vertical Integration Platform**: PSI is building an end-to-end system that reasons like a theorist, validates like a computational physicist, tests like an experimentalist, and drives breakthroughs through to commercial deployment. [psi.inc](https://www.psi.inc/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Open-source repository “Get Physics Done” has 835 GitHub stars; team size ~20 employees (physicists, engineers, AI researchers) [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence)
- **Notable Investors/Partners**: Not disclosed. Board includes Dr. Alex Wissner-Gross (co-founder). Selectively partnering with organizations facing hard physics problems. [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence)
- **Growth Signals**: Actively hiring for multiple roles (AI research, engineering, physics); open-sourcing internal tools; expanding team in Boston and San Francisco. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/psi)

## Competitive Advantages
- **First-mover in physical superintelligence**: Vertically integrated approach from theory to commercial deployment, unlike pure AI labs or traditional R&D.
- **World-class talent pool**: Team from Google, OpenAI, Meta, Harvard, MIT, Stanford, Oxford, Cambridge, Johns Hopkins, Perimeter Institute [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence).
- **Public Benefit Corporation (PBC)**: Governance structure designed for broad public benefit from day one, enabling long-term, mission-aligned work.
- **Open-source strategy**: GPD lowers barriers for physicists and builds community trust and adoption.

## Strategic Focus
- **Industrialize scientific discovery**: Accelerate physics from a field of incremental progress to rapid, systematic breakthroughs.
- **Scale AI for physics**: Build infrastructure that combines AI reasoning, computational validation, and experimental testing.
- **Selective partnerships**: Work with organizations whose hardest problems demand fundamentally new physics.

## Why Work Here
- **Mission-driven**: Opportunity to work on unlocking the next golden age of physics (transistors, lasers, nuclear energy → new physics).
- **Remote/hybrid**: Hiring for Boston/Cambridge and remote roles [vanlett.com](https://vanlett.com/matthew_pines).
- **Small, high-impact team**: ~20 people from top institutions; flat, fast-moving culture.
- **Cutting-edge tech**: Build with AI superintelligence, open-source tools, and real physics experiments.
- **Public Benefit Corporation**: Work that prioritizes societal benefit alongside discovery.
- **Perks**: Not explicitly listed, but likely competitive for a well-funded AI startup.

## Sources
1. [psi.inc](https://www.psi.inc/)
2. [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence)
3. [github.com/psi-oss](https://github.com/psi-oss)
4. [jobs.ashbyhq.com/psi](https://jobs.ashbyhq.com/psi)
5. [vanlett.com/matthew_pines](https://vanlett.com/matthew_pines)

## Other roles at Physical Superintelligence

- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-physical-superintelligence-boston-y458ar5w9dx6) — Boston, MA
- [Head of Talent](https://feeny.ai/job/head-of-talent-physical-superintelligence-boston-3m52pr352ynp) — Boston, MA
- [Member of Technical Staff, Product Engineering](https://feeny.ai/job/member-of-technical-staff-product-engineering-physical-superintelligence-boston-yn94e3wzsp1y) — Boston, MA
- [Member of Technical Staff, Performance & Capacity](https://feeny.ai/job/member-of-technical-staff-performance-capacity-physical-superintelligence-boston-da6vtjr71gyn) — Boston, MA
- [Member of Technical Staff, Data Systems](https://feeny.ai/job/member-of-technical-staff-data-systems-physical-superintelligence-boston-1qz6aq8a03xq) — Boston, MA
- [Discovery Portfolio Manager](https://feeny.ai/job/discovery-portfolio-manager-physical-superintelligence-boston-p7mxn7scr9st) — Boston, MA
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- [Head of Applied AI](https://feeny.ai/job/head-of-applied-ai-physical-superintelligence-boston-g9z4wjvfmv9d) — Boston, MA
- [Head of Physics](https://feeny.ai/job/head-of-physics-physical-superintelligence-boston-8vd9g7nx5z1a) — Boston, MA
- [Head of Core AI](https://feeny.ai/job/head-of-core-ai-physical-superintelligence-boston-5mdpq1fes7h4) — Boston, MA