Forward Deployed Engineer (US, West Coast)

Posted Yesterday
9 Locations
Remote or Hybrid
125K-200K Annually
Entry level
Artificial Intelligence • Automotive • Information Technology • Software
The Role
Implement customer projects using Python, machine learning, and deep-learning tools for engineering, physics, CAD, CAE, and manufacturing workflows. Develop proofs of concept, analyze project data, train customer teams, and translate customer feedback into product improvements. The role requires strong engineering and machine-learning knowledge, simulation experience, customer-facing communication, and travel to US customer locations.
Summary Generated by Built In

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 Forward Deployed Engineering 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.

  • Comprehensive package for PTO, healthcare (100% offered by the company for medical/vision/dental) and 401K matching

Where You Will Be

  • West Coast (San Francisco Bay Area)

  • Traveling: This position will require traveling to customer locations in the US.

  • Start date: ASAP

  • Eligibility: Applicants with a valid work permit in the USA. We do not provide a sponsorship for the US visa.

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

Skills Required

  • Strong understanding of engineering and machine learning
  • Master’s degree in engineering, applied mathematics, or physics
  • Strong Python programming experience
  • Experience with machine learning and deep learning frameworks and libraries
  • Experience with simulation
  • Excellent communication skills and ability to work in customer-facing environments
  • Ability to explain technical concepts to technical and non-technical stakeholders
  • Industry experience with CAD or CAE modeling, including CFD or FEM
  • Valid work permit in the United States
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The Company
HQ: Lausanne
91 Employees
Year Founded: 2018

What We Do

Neural Concept is revolutionizing engineering with AI. We provide a leading end-to-end platform that places AI at the center of the product development process, helping engineers design faster, smarter, and better. Our Engineering Intelligence platform empowers teams to build and deploy AI-driven workflows that drastically shorten development cycles, boost design quality, and increase competitiveness — all while embedding the team’s know-how into the tools they use every day. Spun out from EPFL in 2018, Neural Concept works with over 70% of the world’s largest OEMs and 40 of the top 100 Tier-1 suppliers. Neural Concept is backed by Forestay Capital and the D.E. Shaw group.

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