Application Engineer

• Work cross-functionally with product management, product engineering, and company leadership to ensure the key technical requirements of enterprise customers are met.

• Engage with enterprise customers to capture key technical requirements for the Dyad roadmap as appropriate.

• Ensure key enterprise customers are able to overcome technical barriers and implement Dyad in production.

• Work closely with customers to ensure success in the face of demanding regulatory and security requirements.

• A bachelor’s or higher in aerospace, mechanical, or electrical engineering
• Experience with designing, analyzing, and deploying control systems and architectures
• Experience with building multiphysics system models across key verticals

• Familiarity with machine learning and scientific AI techniques to inform systems modeling

• 5+ years professional experience

• Knowledge of MISRA C or other secure coding standards in an embedded system context

• An understanding of C or C++ as well as familiarity with compiler tools and technologies
• Deep experience with another high-level programming language (ideally Julia, but Python or Matlab are acceptable)
• Outstanding communication and presentation skills

JuliaHub delivers transformative software products for modeling and simulation, solving the world’s most complex scientific and technical challenges. By pioneering a unique Scientific Machine Learning (SciML) approach and integrating Agentic AI through its flagship Dyad product suite, JuliaHub merges the rigor of traditional science with the speed of machine learning. JuliaHub is defining the future of AI-driven modeling and simulation. Our mission is to support our customers across the Aerospace, Automotive, Robotics, Data Centers/HVAC, Utilities, Semiconductors, and Pharma verticals.