Forward Deployed Engineer - US

Neural Concept; Jersey City (NJ); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Work-life balance with flexible hours

Collaborative environment

Job summary

A leading technology firm in Jersey City seeks a talented individual to join their Application Team. This role involves working with engineering leaders to implement machine learning solutions, delivering proofs-of-concept and training teams in AI tools. Candidates should possess a Master's degree in Engineering and have strong Python programming skills. A collaborative, multicultural environment with flexible hours and opportunities for global impact awaits.

Qualifications

• Excellent understanding of Engineering and Machine Learning.
• Experience with simulation in CAD / CAE modelling is a plus.
• Comfortable in customer-facing roles conveying technical concepts.

Responsibilities

• Implement projects with customer’s engineering teams.
• Deliver proofs-of-concept demonstrating value in workflows.
• Work closely with product team to improve based on feedback.

Skills

Machine Learning

Python programming

Engineering Principles

Communication Skills

Education

Master’s degree in Engineering, Applied Mathematics, or Physics

Tools

Machine Learning frameworks

Deep Learning libraries

CAD / CAE modelling software

Job description

About the Role

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.

What you will do

• 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.

Who you are

• You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leaders.
• 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

What You Get

• Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.
• Benefit from a competitive salary and rewarding opportunities as we continue to scale.
• Thrive in a collaborative, multicultural environment where your work is visible and recognized.
• Develop professionally alongside talented colleagues who share knowledge freely and support one another.
• Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.
• Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.