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Physical Superintelligence

AI for physics problem-solving platform

Contract Recruiter

Full-Time
No salary listed
Mid
Boston, MA, USA
HybridPrimarily remote, with occasional onsite visits preferred for candidates based in the Boston area.

About the job

Requirements
  • Experience sourcing or recruiting highly technical talent, ideally across artificial intelligence, machine learning, or related engineering roles.
  • Strong understanding of modern artificial intelligence sourcing tools and workflows.
  • Hands-on experience using tools such as Juicebox, LinkedIn Recruiter, and artificial intelligence research or sourcing platforms to identify and engage candidates.
  • Experience creating targeted sourcing campaigns rather than relying primarily on inbound applicants.
  • Ability to use artificial intelligence tools to research candidates, companies, talent markets, and adjacent candidate pools efficiently.
  • Ability to distinguish between candidates who match keywords and candidates who could actually succeed in the role.
  • Ability to learn technical profiles quickly and calibrate with hiring managers.
  • Strong written outreach skills with the ability to personalize messaging without sacrificing speed.
  • Ability to maintain accurate candidate data and pipeline activity in an applicant tracking system.
Responsibilities
  • Partner with the team to understand hiring profiles across Applied AI and Core AI and translate those requirements into targeted sourcing strategies and candidate campaigns.
  • Use Juicebox, LinkedIn Recruiter, and other artificial intelligence-native sourcing and research platforms to build and orchestrate targeted campaigns.
  • Research adjacent companies, technical communities, open-source contributors, researchers, engineers, and other talent pools to identify hard-to-reach artificial intelligence talent.
  • Build candidate lists, prioritize prospects, write personalized outreach, and manage follow-up campaigns.
  • Use artificial intelligence to increase sourcing speed and scale while maintaining relevance and personalization.
  • Ensure candidates and sourcing activity flow cleanly into Ashby.
  • Build or improve workflows between sourcing tools and Ashby so candidate information, outreach activity, and pipeline status remain organized and usable by the recruiting team.
  • Monitor which searches, talent pools, outreach strategies, and campaigns produce qualified candidates.
  • Continuously refine sourcing efforts and focus time on the highest-performing approaches.
  • Understand what candidates are weighing, including compensation, mission, ownership, and team, and help present an honest case for what the company offers.
Desired Qualifications
  • Experience building automated or semi-automated sourcing workflows.
  • Experience integrating sourcing tools or recruiting workflows with Ashby.
  • Experience recruiting for an early-stage or rapidly growing technical startup.

About the company

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Physical Superintelligence

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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

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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.

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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.