Senior Forward Deployed Engineer — CFD

YOUR IMPACT

As a Senior Forward Deployed Engineer in Luminary's Applications Engineering team, you are the physics-domain expert inside customer value delivery teams. You work in a matrix structure under a Lead Delivery Engineer (LDE) alongside Applied AI/ML Scientists, Data & Platform engineers, and selected product engineers. Your job is to take the hardest engineering simulation problems a customer brings and translate them into deployed Physics AI solutions — from data generation, through model development, into production engineering workflows. You operate at the boundary of cutting-edge research and real-world engineering practice, embedded shoulder-to-shoulder with customer engineers.

WHAT YOU'LL DO

• Lead the technical implementation of Physics AI engagements as the resident physics-domain expert within the customer value delivery team.
• Translate customer engineering problems into simulation campaigns, training datasets, and surrogate model architectures.
• Set up and run simulations that produce high-quality training data, working with customer subject-matter experts to validate physical fidelity.
• Partner with Applied AI/ML Scientists on model selection, training, and validation against ground-truth simulations.
• Work with Data & Platform engineers to integrate models into customer engineering workflows.
• Co-engineer with customer engineers — visible, collaborative, building trust through technical credibility and shipped outcomes.
• Travel to customer sites as needed to support deployment, training, and engagement reviews.
• Bring customer signal back to Product and Research, shaping Luminary's simulation and Physics AI roadmap.

WHAT YOU BRING

• Industrial CFD experience — external/internal aerodynamics, turbomachinery, HVAC, or multi-phase flow — and a passion for engaging customers and traveling onsite.
• Proficiency in Python for scripting and automation, familiarity with a primary deep learning framework (e.g. PyTorch), and API/SDK workflows.
• Hands-on experience with Physics AI or physics-informed ML models applied to engineering simulation (e.g., surrogate modeling, neural operators, or data-driven solvers).
• Hands-on experience with containerization, distributed computing environments, and version control systems.
• Tech-savvy mindset with enthusiasm for advanced computing and simulation technologies.
• Self-starter mentality with the ability to work independently and drive results.
• Exceptional communication skills, particularly when engaging with technical audiences.

PREFERRED QUALIFICATIONS

• An engineering or physics background (e.g., Mechanical, Aerospace, Chemical) with demonstrated expertise in computational fluid dynamics and Physics AI.
• Experience with CFD software — such as ANSYS Fluent, OpenFOAM, Star-CCM+, or similar — and associated meshing, turbulence modeling, and post-processing workflows.
• Familiarity with physics-informed AI/ML frameworks (e.g. PhysicsNeMo), or equivalent experience developing and deploying surrogate models for fluid dynamics simulation.