Head of Applied AI

Physical Superintelligence; Boston (MA); Hybrid; USD 200.000 - 320.000; Vollzeit

Benefits dieser Stelle

Equity

Competitive benefits

Zusammenfassung

Physical Superintelligence is seeking a senior leader to head Applied AI, leading a customer-facing technical team that builds models, simulations and agents for engineering problems. You will own the people, results and the hiring, setting the technical direction and validating outcomes in collaboration with customers.

You will also own delivery end-to-end, shaping engagements, ensuring deployments in customer environments, and maintaining high technical standards while working closely with

Qualifikationen

• 3+ years of direct people management, hiring and performance reviews for a customer-facing technical team.
• 8+ years applying ML and simulation to engineering, industrial, or physics problems delivered to customers or partners.
• Depth in at least one engineer­ing domain from the listed areas and ability to reason about accuracy, speed, and extrapolation risk.

Aufgaben

• Lead Applied AI to solve customers' engineering problems with models, simulations and agents; own people, results and hiring.
• Set the technical direction for when classical solvers vs learned models are needed and how outcomes are validated.
• Own customer delivery end-to-end, scoped to the customer's problem and deployed in their environment with reusable capabilities left behind.
• Be the technical counterpart to go-to-market and own escalation when engagements are at risk.
• Stay hands-on and ship working scientific results while maintaining a high technical bar.

Kenntnisse

People management

Technical leadership

Communication

Ausbildung

PhD in engineering or applied physics or computational science

Tools

CFD or simulation tools

Modeling and validation workflows

Jobbeschreibung

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.

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

• Lead Applied AI, the organization that solves customers' engineering problems with our models, simulations and agents: own the people, the results and the hiring.

• Set the technical direction: where a classical solver is required, where a learned model is enough, how both are validated, and when a result is good enough for a customer.

• Own customer delivery end to end, scoped around the customer's actual problem, shipped into their environment, leaving a reusable capability behind.

• Be the technical counterpart to go-to-market: decide what we can credibly promise and own the escalation when an engagement is at risk.

• Stay technical: carry individual work on engagements and set the bar by shipping working science.

What We're Looking For

• At least three years of direct people management, hiring, performance reviews, and career development for the people who reported to you, and a track record of building a function: you have hired and led a customer-facing technical team from small or from scratch, and the function outlived your direct involvement in every deal.

• Eight or more years of work applying ML and simulation to engineering, industrial, or physics problems, delivered to customers or partners at a company known for technical rigor. You have modeled a physical system that mattered, validated it against ground truth, and can say how you knew it was right. Recommenders, ads, and business analytics do not count toward this.

• Depth in one of the following engineering domains, in the vertical you delivered to. You can build a model, debug a pipeline, and reason about accuracy, speed, and extrapolation risk with a senior domain engineer.

  • Fluid dynamics and heat transfer: CFD, conjugate heat transfer, multiphase and two-phase flow, natural and forced convection.

  • Thermodynamics and energy conversion: refrigeration and power cycles, heat exchangers, combustion, engines and turbines, HVAC.

  • Electrical and power systems: power flow, interconnection and protection, power electronics and converter dynamics, electromagnetics.

  • Electrochemistry and energy storage: batteries, fuel cells, corrosion.

  • Solid mechanics and materials: FEA, vibration, fatigue, materials degradation.

  • Transport and environmental physics: atmospheric dispersion, hydrology and water systems, subsurface flow, fire.

  • Chemical and process engineering: reaction kinetics, process simulation, working fluids.

Motivation for this specific job is assessed at the first conversation. This role is commercial problem-solving with real science, and we will ask for the last commercial problem you personally found interesting and why.

Nice to Have

• A PhD, or an equivalent research record, in engineering, applied physics, or computational science.

• Experience owning the tools or interfaces through which technical work reaches its users, or turning bespoke engagements into a product.

• Depth in a second lane from the list above.

• Domain experience in energy, infrastructure, or other industrial verticals.

• Forward-deployed or solutions leadership at a company that scaled the function significantly.

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 hybrid, three days a week in person in our Cambridge, MA office. We offer competitive compensation including salary, benefits, and meaningful early-stage equity. We evaluate on leadership track record, applied depth, commercial judgment, and shipping velocity. We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.