Forward Deployed AI Engineer — Hybrid, Global CAD/CAE

Neural Concept; Jersey City, New York (NJ, NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

PTO and benefits

Health insurance

401K matching

Job summary

Neural Concept is seeking a Forward Deployed Engineer to collaborate with top industry clients across the US, delivering tailored AI-enabled design workflows. You will combine engineering insight with ML to solve real-world CAD/CAx challenges and demonstrate value through Proofs of Concept.

In this client-facing role, you will travel within the US, join a hybrid work model, and work with a world-class tech team to scale AI adoption in engineering workflows while shaping product improvements

Qualifications

• Master's degree in engineering, applied mathematics, or physics.
• Strong Python programming experience and ML/DL frameworks.
• Excellent communication and ability to convey concepts to varied audiences.

Responsibilities

• Implement projects with customers' engineering teams and analyze data using Python.
• Apply deep-learning tools to engineering/physics problems.
• Deliver proofs-of-concept showing AI value in CAD/CAx/workflows.
• Train customer teams to use the NC platform.
• Collaborate with product team to translate feedback into improvements.

Skills

Python programming

Machine learning

Deep learning

Communication skills

Client-facing

Education

Master's degree in Engineering / Applied Mathematics / Physics

Job description

Neural Concept is seeking a Forward Deployed Engineer to collaborate with top industry clients across the US, delivering tailored AI-enabled design workflows. You will combine engineering insight with ML to solve real-world CAD/CAx challenges and demonstrate value through Proofs of Concept.

In this client-facing role, you will travel within the US, join a hybrid work model, and work with a world-class tech team to scale AI adoption in engineering workflows while shaping product improvements