5-7 years of experience in structural mechanics including stress analysis and fatigue
Proficient in Python for automation and scripting
Experience with Physics AI or ML models in engineering simulation
Skilled in containerization and distributed computing environments
Strong understanding of version control systems
Excellent communication skills for technical discussions
Self-starter mindset with the ability to work independently
Responsibilities
Lead integration of Physics AI platform for various customer segments
Design tailored solutions based on customer needs
Travel to customer sites for hands-on support
Provide ongoing expert guidance throughout customer lifecycle
Translate customer insights into actionable feedback for product teams
Benefits
Opportunities for travel to engage with customers directly
Dynamic work environment with a focus on innovative technology
Collaboration with leading engineers in high-impact industries
Potential to influence the development of next-gen AI technology
Full Job Description
As a Forward Deployment Engineer, you'll be at the forefront of deploying game-changing technology to engineering leaders in aerospace, automotive, and other engineering sectors. You'll work directly with companies that are designing tomorrow's breakthrough products, helping them accelerate their innovation cycles and achieve better designs by integrating Luminary AI's platform. This role is ideal for self-starters who thrive in dynamic environments and can translate complex technical concepts into practical deployments and solutions.
What You'll Do
Pioneer Physics AI adoption by leading the end-to-end integration of our platform for customers ranging from hyper-growth startups to the Fortune 100.
Work closely with customers to identify high-impact opportunities and design bespoke solutions that adapt the platform to their specific needs.
Opportunity to travel to customer sites to provide hands-on support and work side-by-side to ensure successful implementation.
Provide expert technical guidance and support throughout the customer lifecycle, from initial deployment to ongoing optimization.
Collaborate with cross-functional teams by translating customer needs and insights into actionable feedback for our product and research teams, directly shaping the next generation of Physics AI.
What You Bring
Passion for engaging customers and traveling onsite. Industrial experience in structural mechanics - stress analysis, fatigue, crashworthiness, vibration/NVH, or composite structures - is highly valued.
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, Civil) with demonstrated expertise in structural simulation and Physics AI.
Experience with FEA software - such as ANSYS Mechanical, Abaqus, Nastran, LS-DYNA, or similar - and associated workflows for linear/nonlinear analysis, modal analysis, or durability.
Familiarity with physics-informed AI/ML frameworks (e.g. PhysicsNeMo), or equivalent experience developing and deploying surrogate models for structural simulation.
