Senior/Principal Forward Deployed Engineer - Applied AI/ML

Responsibilities

• Own model development for Physics AI engagements including architecture selection, training pipeline design, and validation
• Work with Applications Engineers to ensure training data is physically meaningful
• Partner with Data & Platform engineers to operationalize training pipelines and inference serving
• Collaborate with Luminary Research to apply state-of-the-art techniques like neural operators and diffusion models
• Work side-by-side with customer data scientists to build model literacy
• Mentor junior team members and contribute to internal best practices

Requirements

• 5–10 years of experience in applied machine learning
• Significant exposure to scientific computing, engineering simulation, or physics-informed ML
• Strong proficiency in Python and PyTorch
• Experience training and deploying models on engineering or scientific data
• Working knowledge of engineering simulation such as CFD, FEA, EM, or thermal
• Experience with distributed training and GPU workloads
• Customer-facing presence and ability to explain model architectures to engineering audiences

Preferred Qualifications

• Advanced degree (MS or PhD) in Computer Science, Applied Math, Physics, or Engineering
• Published work in physics-informed ML or scientific machine learning
• Experience with physics-informed AI/ML frameworks like PhysicsNeMo or JAX-based stacks
• Track record of shipping models into production engineering workflows

About the Company

Luminary helps engineering companies be more competitive through its Physics AI platform, enabling them to build and deploy models that predict physical reality with precision.