Computational Physics Platform Engineer — AI-Driven Discovery

Physical Superintelligence; Boston (MA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Benefits

Early-stage equity

Job summary

Physical Superintelligence, a stealth startup in Boston, is seeking engineers to build platform infrastructure merging computational science with AI systems. Ideal candidates will have a PhD in physics, strong Python programming skills, and experience in high-performance computing.

The role includes converting physics problems into machine-verifiable tasks, designing evaluation frameworks, and collaborating with researchers. Competitive compensation packages including salary, benefits, and early-stage equity are offered.

Qualifications

• Expertise in at least one physics domain.
• Produced verifiable, published results.
• Hands-on experience with specific simulation platforms.

Responsibilities

• Convert frontier physics problems into machine-verifiable tasks.
• Design evaluation frameworks and verification harnesses.
• Integrate state-of-the-art physics simulations into AI environments.
• Collaborate with AI researchers on architecture and training.

Skills

Strong programming skills in Python

Fluency at the physics-ML intersection

Experience with high-performance computing

Education

PhD in physics or related quantitative discipline

Tools

CFD

molecular dynamics

VASP

OpenFOAM

Job description

Physical Superintelligence, a stealth startup in Boston, is seeking engineers to build platform infrastructure merging computational science with AI systems. Ideal candidates will have a PhD in physics, strong Python programming skills, and experience in high-performance computing.

The role includes converting physics problems into machine-verifiable tasks, designing evaluation frameworks, and collaborating with researchers. Competitive compensation packages including salary, benefits, and early-stage equity are offered.