Applied AI Engineer: Physical Simulation & Digital Twins

Acceler8 Talent; Cambridge (MA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Acceler8 Talent in Cambridge, MA is seeking an Applied AI Engineer to advance physical simulation and digital twins in a hybrid, three-days-per-week role. The position emphasizes building AI-native physics capabilities to tackle AI data centre challenges and support engineering design decisions.

You will blend first-principles simulations with neural models, validate against measurements, and deploy capabilities into customer workflows, turning project work into reusable scientific assets.

Qualifications

• Strong background in engineering or physics with hands-on experience in physical simulations, digital twins, or surrogate models.
• Practical AI fundamentals and applying neural networks to physical problems.
• Master’s degree plus a few years of experience, or a PhD with industry experience.

Responsibilities

• Combine first-principles simulations, solvers, and learned models to explore engineering designs.
• Validate against measurements, investigate discrepancies, and explain model assumptions and limitations.
• Deploy models into customer workflows and turn project work into reusable scientific capabilities.

Skills

Engineering/Physics expertise

AI fundamentals

Neural networks

MS/PhD

Education

Master’s degree in engineering/physics

PhD with industry experience

Tools

PyTorch

JAX

Python

Job description

Acceler8 Talent in Cambridge, MA is seeking an Applied AI Engineer to advance physical simulation and digital twins in a hybrid, three-days-per-week role. The position emphasizes building AI-native physics capabilities to tackle AI data centre challenges and support engineering design decisions.

You will blend first-principles simulations with neural models, validate against measurements, and deploy capabilities into customer workflows, turning project work into reusable scientific assets.