Physical Superintelligence

Physical Superintelligence

AI for physics problem-solving platform

Chief Operating Officer

Full-Time
No salary listed
Expert
Boston, MA, USA
In Person

On-site at the company's Cambridge hub.

About the job

Requirements
  • Be ready to build, orchestrate, and operate multi-agent workflows using current agent frameworks and automation tooling.
  • Be fluent in data analytics, SQL, business intelligence tooling, and data modeling, with the ability to establish an operational analytics layer.
  • Have owned a company's knowledge base, internal tooling, and workflow integration, and be fluent in modern project management systems such as Linear.
  • Have eight or more years of operating leadership experience at a venture-backed company that scaled through a comparable growth stage.
  • Be able to operate as a peer to the CEO and executive team and serve as a strategic partner to a founder or CEO.
  • Be able to engage credibly with sophisticated infrastructure customers and a technical team; being a physicist or writing code is not required.
  • Demonstrate the ability to operate without bureaucracy in fast-moving environments and deliver results.
Responsibilities
  • Serve as a strategic partner to the CEO and build the company's operating backbone.
  • Own operations and run the company as a tightly integrated, agent-augmented organization.
  • Own hiring operations, scale headcount, and own performance management.
  • Own the quality and efficiency of company processes, including project management, internal and external communication, KPI tracking, legal and compliance, finance, and human resources.
  • Set the operating cadence by owning planning, reporting, decision rhythms, and operating reviews.
  • Own cross-functional work that falls between functions, build missing systems, and integrate heterogeneous tools into coherent workflows.
  • Deploy agentic workflows across operating functions and instrument the company end to end.
  • Partner with go-to-market leadership to define and scale operational and staffing requirements for the commercial function.
  • Build commercial processes and hire operational talent so delivery and support systems scale with revenue growth.
  • Act as a thought partner and force multiplier for the CEO by pressure-testing priorities and providing decision support.
  • Operate as a peer to the CEO and executive team and support company-level decisions.
  • Operate the organization according to engineering-led, AI-native principles.
Desired Qualifications
  • Experience operating within regulated industries and familiarity with export control compliance and sensitive technology research and development.
  • Experience scaling internal operations, tooling, or platform at a fast-growing deep technology or artificial intelligence company.
  • A background combining operating leadership with hands-on technical or data work rather than a pure people-and-process profile.

About the company

Physical Superintelligence

Physical Superintelligence

View

Physical Superintelligence (PSI) builds AI tools for physics through its Emmy platform, which runs virtual physicists on a reasoning engine and curated simulations to decompose problems into verifiable hypotheses and test them in parallel. This enables solving physics-based challenges by generating, evaluating, and validating multiple hypotheses at once. Unlike broader AI firms, PSI focuses on physics applications, offering a verified, simulation-driven workflow and pursuing real-world deployments such as optimizing terrestrial and orbital AI data centers, and acting as the founding technical partner for an interstellar mission. PSI is structured as a public benefit corporation, guiding its growth with a mission to advance physics-driven AI while delivering tangible, tested results for complex scientific and engineering problems.

Company Size

1-10

Company Stage

Seed

Total Funding

$58M

Headquarters

Cambridge, Massachusetts

Founded

2025

Get referred to Physical Superintelligence

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Breakthrough Energy Ventures led PSI's $58 million seed on September 1, 2026.
  • PSI says it already has live pilots on operating data-center infrastructure.
  • Jobs posted September 24, 2026 show 19 openings across physics, AI, and applied roles.

What critics are saying

  • September 2026 launch means no long operating track record, customer retention, or benchmark proof.
  • Emmy must beat incumbent datacenter engineering tools from Ansys, NVIDIA, and in-house teams fast.
  • If Fermi Explorer stalls before 2029, PSI loses its headline credibility and fundraising narrative.

What makes Physical Superintelligence unique

  • PSI launched September 1, 2026 with Emmy, combining reasoning models and curated simulations.
  • PSI sells physics verification, not chat, using machine-checked hypotheses and reproducible analysis.
  • PSI pairs commercial datacenter optimization with the Fermi Explorer interstellar mission.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote Work Options

Company Equity

Company News

StreetInsider
Sep 1st, 2026
PSI raises $58M to build AI physics lab discovering new laws of the universe

Physical Superintelligence (PSI) has launched with $58 million in seed funding to industrialise physics discovery using AI. The Cambridge, Massachusetts-based startup was founded by Matt Pines, Alex Klokus, and Dr Alexander Wissner-Gross. Breakthrough Energy Ventures led the round, joined by Dragon Global, Robot Ventures, Solari, Susa, SV Angel, Valkyrie, Balaji Srinivasan, Anthony Scaramucci, and individual investors from OpenAI, NVIDIA, SoftBank Energy, Oracle, Hugging Face, JUMP Capital, and the a16z Scout Fund. PSI aims to build an AI-native physics lab that creates higher-fidelity world models and discovers new physical laws. Its first commercial application is Emmy, a platform for optimising terrestrial and orbital data centres. The company is also the founding technical partner for the Fermi Explorer Mission to Alpha Centauri.

PR Newswire
Sep 1st, 2026
Introducing Physical Superintelligence: The World's Most Advanced Physics Lab, Staffed by Virtual Physicists to Discover New Laws of the Universe

/PRNewswire/ -- Matt Pines, Alex Klokus, and Dr. Alexander Wissner-Gross today launched Physical Superintelligence (PSI) to build the world's most advanced...

The Deep View
Sep 1st, 2026
Can AI help crack interstellar travel?

Can AI help crack interstellar travel? AI is best known for transforming coding. Now, one startup is making the case for physics. On Tuesday, the AI-native physics research lab, Physical Superintelligence (PSI), emerged from stealth with $58 million in seed funding, led by Breakthrough Energy. It is launching with two proofs of concept: * A productized piece of its core platform, Emmy * Joining as a founding technical partner for the Fermi Explorer Mission, a nonprofit organizing the first privately funded interstellar space mission and the first AI-planned probe to Alpha Centauri Emmy, named for renowned physicist Amalie Emmy Noether, combines PSI's reasoning engine, consisting of sovereign pre-trained and post-trained models, with a large curated inventory of simulations to tackle research problems at a pace much quicker than humans could, according to the company. Moreover, Emmy can reason through a problem, then test its conclusions until its findings are verifiable, as Matt Pines, co-founder and CEO, told The Deep View. "Our systems run research campaigns: they decompose a problem, generate candidate approaches, and test them against simulation, live measurement, or machine-checked proof," said Pines. "Nothing counts as a result until it survives a check that sits outside the model." Initially, a subset of Emmy's capabilities will be used for optimizing terrestrial and orbital AI data centers and factories. PSI has already signed commercial agreements and live pilot deployments on operating data center infrastructure today, according to Pines. The second prong of the launch is PSI's involvement in the Fermi Explorer mission, whose ultimate goal is to launch the first spacecraft to another star system, targeting Alpha Centauri, the closest star system to Earth. This initiative is a major undertaking because Alpha Centauri is roughly 4.37 light-years away, which would take about 80,000 years to reach from Earth at the speeds of current spacecraft. That makes it quite a feat of engineering to build a vessel capable of the journey. PSI has already claimed to have contributed to the mission by validating its physics and identifying a substantially more efficient trajectory within the mission's mass and budget constraints. The company is using this finding to demonstrate that a small team using AI-native physics could do the work typically required of a national laboratory. This reflects the company's broader mission to contribute to discoveries that are both commercially and scientifically valuable. "Fermi asked us to assess mission feasibility: the propulsion, trajectory, and power questions that determine whether the mission closes," said Pines. "Our technology ran the analysis, with our physicists directing the work. Fermi's technical team, which comes out of Starcloud, verified the analysis. The report was also written so the analysis can be rerun, and reproduction is the standard we want to be held to." PSI was founded by Pines, Alex Klokus, and Dr. Alexander D. Wissner-Gross, Ph.D, who combined to bring expertise across physics, economics, government, and tech. The broader team comprises physicists, AI researchers, experimenters, and builders, and PSI is actively hiring more talent. Interested applicants can apply online. Its deeper View. ChatGPT became the catalyst for the current AI boom, and since then, The Deep View has seen many companies try to compete by creating AI products. The result is that many of these products end up being repetitive or AI-washed offerings that have largely caused mainstream AI fatigue. However, some labs are developing focused, task-based AI solutions to solve big problems. Physical Superintelligence is a prime example, as it showcases just how instrumental AI can be as a catalyst to spur further innovation and development, even unlocking discoveries that have been very difficult to solve, with this extreme example of building a vessel capable of reaching Alpha Centauri. It's refreshing to see teams with ambitions this big.