About The Position

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.

Requirements

  • Passionate about engaging customers and traveling onsite. CAE industrial experience 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 cloud platforms, containerization, and version control systems.
  • Tech-savvy mindset with enthusiasm for cloud computing and advanced simulation technologies.
  • Self-starter mentality with the ability to work independently and drive results.
  • Exceptional communication skills, particularly when engaging with technical audiences.
  • An engineering or physics background (e.g., Mechanical, Aerospace) with demonstrated expertise in data science and Physics AI.
  • Experience with CFD software, simulation workflows, or scientific computing.
  • Familiarity with ML operations and physics-informed AI/ML models/frameworks (e.g. PhysicsNeMo).

Responsibilities

  • Lead the end-to-end integration of our platform for customers.
  • Work closely with customers to identify high-impact opportunities and design bespoke solutions.
  • Travel to customer sites to provide hands-on support.
  • Provide expert technical guidance and support throughout the customer lifecycle.
  • Collaborate with cross-functional teams to translate customer needs into actionable feedback.
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