ML for CAX Application Engineer - US

Neural Concept•Jersey City, NJ

3d•$125,000 - $200,000•Hybrid

About The Position

Our technology is raising strong interest from the engineering world, and the number of our users is growing quickly. As a key player in the Application Team, your mission will be to help industry leaders to redefine their product design workflow with the latest technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier clients worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.

Requirements

You have an excellent understanding of both Engineering and Machine Learning (strict requirement)
You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus
You hold a master’s degree in engineering, Applied Mathematics, or Physics
You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries
You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing role
You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way
Applicants with a valid work permit in the USA. We do not provide a sponsorship for the US visa.

Nice To Haves

Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus

Responsibilities

Implement projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python
Apply our deep-learning tools to different engineering/physics problems
Deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE and manufacturing workflows.
Train customer teams to effectively use the NC platform, ensuring smooth AI adoption into their workflows
Work closely with the product team to translate customer feedback into product improvements.