About the company
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.
Job duties and responsibilities
- 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.
Education, Expertise and Experience Required
- 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
Skills Required
- Bachelor's degree or higher in aerospace, mechanical, or electrical engineering
- Experience designing, analyzing, and deploying control systems and architectures
- Experience building multiphysics system models across key industry verticals
- Familiarity with machine learning and scientific AI techniques for systems modeling
- At least 5 years of professional experience
- Knowledge of MISRA C or other secure coding standards in an embedded systems context
- Understanding of C or C++ and familiarity with compiler tools and technologies
- Deep experience with a high-level programming language, ideally Julia; Python or MATLAB acceptable
- Outstanding communication and presentation skills
What We Do
JuliaHub builds software for scientific and technical computing, including a secure SaaS platform for developing, deploying, and scaling Julia programs and high-performance computing workloads. It also offers data-science workflows and Dyad, an AI-enabled tool for physics-based, multiphysics modeling and simulation that combines traditional simulation with scientific machine learning. The products help engineers and data scientists run scalable computations and develop models for complex engineering applications.
