Forward Deployed Engineer, Physics & AI

Overview

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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 and Responsibilities

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• Embed with customers to apply AI and ML to hard, real-world physics problems. Build ML models, simulations, and digital twins that beat traditional engineering workflows on accuracy, speed, or both, pair them with agentic optimization loops, and ship results customers can actually run in production.
• Build the demos and engagement-specific tooling that make PSI's physics-AI capabilities tangible. Working artifacts and live dashboards, not slide decks. Every engagement ends with something a customer can run and see results from.
• Translate real-world data into clean inputs for ML and simulation pipelines: sensor telemetry, design documents, operational logs, public data feeds. Define schemas, build ingestion pipelines, make every engagement's data usable in days, not months.
• Drive each engagement end-to-end: scoping, technical implementation, customer-facing communication, and harvest discipline. Every engagement either compounds a generalizable capability we can reuse across customers or it is killed at renewal.

What We're Looking For

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