Asks for

The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”
The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”
The ad says“Proficiency in Python for scripting and automation, plus familiarity with a deep learning framework (e.g., PyTorch) and API/SDK workflows.”
The ad says“Industrial CFD experience, with hands-on depth in a core discipline.”
The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”
The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”
The ad says“Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.”
The ad says“Proficiency in Python for scripting and automation, plus familiarity with a deep learning framework (e.g., PyTorch) and API/SDK workflows.”
The ad says“Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.”
The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”
The ad says“Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.”
The ad says“Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.”
The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”
The ad says“Pre-sales or customer-facing delivery experience, including running technical evaluations, building POCs, and scoping engagements.”
The ad says“Proficiency in Python for scripting and automation, plus familiarity with a deep learning framework (e.g., PyTorch) and API/SDK workflows.”
The ad says“Proficiency in Python for scripting and automation, plus familiarity with a deep learning framework (e.g., PyTorch) and API/SDK workflows.”
The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”
The ad says“Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.”
The ad says“A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.”

Full Time | Eligible for Hybrid, Remote

JOIN THE REVOLUTION IN ENGINEERING INNOVATION

Engineering simulation has never been faster or more capable — and yet the hardest design challenges still outpace what traditional solvers can deliver at speed. Physics AI doesn't replace that foundation. It extends it, giving engineering teams a new capability layer that opens up problems previously constrained by compute time, iteration cost, or workflow bottlenecks. Luminary AI is building that capability layer, and our platform is deployed at several of the most recognized names in aerospace, automotive, and defense industries. We're Series B and growing fast.

ABOUT THE ROLE

As a Senior Forward Deployed Engineer on Luminary's Applications Engineering team, you're the physics-domain expert inside a customer value delivery team. You work in a matrix under a Lead Delivery Engineer, alongside Applied AI/ML Scientists, Data & Platform engineers, and product engineers. You take the hardest simulation problems a customer brings and turn them into deployed Physics AI solutions — from data generation, through model development, into production workflows — embedded alongside customer engineers.

WHAT YOU'LL DO

Lead the technical delivery of Physics AI engagements as the resident physics expert on the value delivery team.
Translate customer engineering problems into simulation campaigns, training datasets, and surrogate model architectures.
Run the simulations that generate high-quality training data, validating physical fidelity with customer SMEs.
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 production workflows.
Build trust with customer engineers through technical credibility and shipped outcomes.
Travel to customer sites to support deployment, training, and engagement reviews.
Bring customer signals back to Product and Research to shape the Physics AI roadmap.

WHAT YOU BRING

Industrial CFD experience, with hands-on depth in a core discipline.
Proficiency in Python for scripting and automation, plus familiarity with a deep learning framework (e.g., PyTorch) and API/SDK workflows.
Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.
Pre-sales or customer-facing delivery experience, including running technical evaluations, building POCs, and scoping engagements.
Strong communication with technical audiences.

WHO WE'RE LOOKING FOR

A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers — Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar — is expected. Working knowledge of Physics AI and ML surrogates is preferred.

Eligibility: Limited to U.S. Persons; not eligible for visa sponsorship now or in the future.

Asks for

Values