Forward Deployed Engineer, Physics & AI

About the Company

Physical Superintelligence is a startup building AI systems to discover new physics at scale. With roots at institutions like Google, NVIDIA, Harvard, and MIT, the mission is to industrialize scientific discovery and unlock the next era of transformative physics breakthroughs using artificial superintelligence.

Responsibilities

• Embed with customers to apply AI and ML to real-world physics problems
• Build ML models, simulations, and digital twins that outperform traditional engineering workflows
• Develop demos, engagement-specific tooling, live dashboards, and working artifacts
• Translate real-world data (sensor telemetry, design documents, logs) into clean inputs for ML and simulation pipelines
• Drive engagements end-to-end, from scoping and technical implementation to customer communication

Requirements

• 5+ years building production ML systems with grounding in applied physics, computational science, or engineering
• Strong physics literacy in at least one quantitative domain
• Proven ability to build ML models, simulations, or digital twins for physics or engineering problems
• Experience shipping systems that handle real-world distribution shifts
• Customer-facing engineering instincts and ability to communicate with both PhD researchers and practitioners

Preferred Qualifications

• PhD or Master's in physics, applied physics, engineering, or computational science
• Hands-on experience with simulation tools such as OpenFOAM, Ansys, or COMSOL
• Experience with digital twins, physics-informed neural networks (PINNs), or neural operators
• Prior on-site customer engineering or field deployment experience