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.
This Forward Deployed Engineer role builds customer-specific solutions that apply machine learning to engineering and physics workflows. You will work with customer engineering teams on Python-based projects, demonstrate the platform through proofs of concept, and help customers adopt AI-assisted design tools.
Neural Concept is a Swiss artificial intelligence software company founded in 2018 and headquartered in Lausanne. Originating from research at EPFL, it develops an AI-powered engineering platform for designing, simulating and optimizing physical products. Its technology combines three-dimensional deep learning, physics-aware models, generative AI and engineering automation to help engineers evaluate design alternatives and predict product performance. Products include an AI Design Copilot, engineering intelligence tools and an MCP Bridge connecting AI agents with CAD and simulation software. Neural Concept serves automotive, aerospace, energy, semiconductor, electronics and industrial manufacturers. Customers include General Motors, Leonardo, JLR and MAHLE. Its platform helps engineering organizations reduce repetitive simulation work, explore more design options, improve product performance and shorten development cycles while integrating with existing engineering systems.
Neural Concept offers opportunities to work where artificial intelligence meets real-world engineering, including automotive, aerospace, energy and semiconductor design. Originating from EPFL research, the company develops physics-aware machine learning, generative design and AI agents integrated with engineering software. It raised $100 million in Series C funding in December 2025 and reported more than 50 enterprise customers, including General Motors, Leonardo and other major manufacturers. Its engineering work involves Python, PyTorch, Kubernetes, cloud infrastructure, numerical simulation and high-performance computing. The company has expanded internationally, including teams in Bengaluru and Pune, and advertises positions across AI engineering, product development, deployment and technical sales. Its careers page lists hybrid opportunities in several locations and a structured hiring process. Compensation and working arrangements depend on the position.
Pierre Baqué founded Neural Concept in 2018 and serves as CEO. He studied applied mathematics at École Polytechnique in Paris and earned a PhD in deep learning at EPFL. His earlier research included computer vision, three-dimensional deep learning and optimization. He also developed algorithmic trading tools at Credit Suisse. His research on applying machine learning to physical geometry provided the foundation for Neural Concept's engineering AI technology.
Théophile Allard is a co-founder and CTO of Neural Concept. He earned a master's degree from Mines ParisTech, specializing in mathematics and computer science. Previously, he worked at Deepki and was involved with Inventia Life Science. He joined the founding team after meeting Pierre Baqué at EPFL. He leads engineering and technology development, including machine learning architecture, scientific computing and enterprise AI platform capabilities.
Jonathan Donier is a co-founder and Chief Scientific Officer of Neural Concept. He has a background in scientific research, artificial intelligence and computational methods. He helps guide the company's scientific direction, including research into machine learning, three-dimensional geometry and physics-aware models for engineering applications.
Thomas von Tschammer is a co-founder and General Manager of Neural Concept's US business. He studied at EPFL and has a background in engineering, computer vision and technical commercialization. He helped establish the company's international operations and leads its US expansion, customer relationships and commercial activities, particularly among automotive, aerospace and industrial engineering organizations.
François Fleuret was identified as an early founding member of Neural Concept in company and investor announcements. A machine learning researcher associated with EPFL and the Idiap Research Institute, he contributed scientific expertise in deep learning and computer vision. His academic research was part of the technical environment from which Neural Concept originated.
Pascal Fua was identified as an early founding member of Neural Concept. He is a professor at EPFL and has led research in computer vision and machine learning. His work includes three-dimensional scene understanding and image-based reconstruction. Neural Concept emerged from the EPFL research environment in which Fua and the founding team developed technology for AI-assisted engineering.
Philippe Cuendet serves as Chief Operating Officer of Neural Concept. He is responsible for operational management and organizational execution as the company expands internationally. His role supports coordination across engineering, commercial and corporate functions.
Pietro Cervellera joined Neural Concept as Chief Revenue Officer in July 2026. He has more than 20 years of experience in engineering software and simulation, including senior positions at Altair and Siemens Digital Industries Software. He leads global revenue strategy, enterprise sales, strategic accounts and go-to-market execution across industries and regions.
Alex Read joined Neural Concept in July 2026 as Senior Vice President of Vertical Solutions. He has approximately 25 years of experience in engineering simulation, product strategy and commercial leadership, including senior roles at Siemens Digital Industries Software and CD-adapco. He develops industry-specific solutions for engineering customers across key industrial markets.
Brett Chouinard became Chairman of Neural Concept's Board of Directors in July 2026. He previously spent nearly 30 years at Altair, holding positions including President, Chief Operating Officer, Chief Technology Officer and Chief Product and Strategy Officer. He provides strategic guidance on engineering software, enterprise growth and international expansion.
Neural Concept
Neural Concept announced that its collaboration with Leonardo had expanded from helicopter engineering into aeronautics and digital solutions. The work includes AI-assisted design optimization, high-fidelity simulation workflows and NVIDIA Omniverse visualization. Engineering teams use the platform to evaluate more design alternatives at lower computational cost.
Read articleNeural Concept
Neural Concept introduced MCP Bridge, enabling AI agents to operate commercial CAD, meshing and simulation software inside enterprise environments. Supported engineering applications include CATIA, Siemens NX and Abaqus. The product connects AI agents with existing engineering workflows to automate approved design and simulation tasks.
Read articleNeural Concept
Neural Concept announced dedicated commercial teams in Bengaluru and Pune to support Indian automotive and manufacturing customers. The company appointed Sudhir Padaki as Regional Sales Director for India and expanded local support for engineering AI adoption, training and deployment.
Read articleNeural Concept
Neural Concept appointed Brett Chouinard as Chairman of the Board, Pietro Cervellera as Chief Revenue Officer and Alex Read as Senior Vice President of Vertical Solutions. The appointments strengthen leadership in engineering software, global sales and industry-specific product development.
Read articleNeural Concept
Neural Concept announced its first dedicated Asia-Pacific office in Seoul, South Korea, to support automotive, shipbuilding, electronics and semiconductor manufacturers. The company also appointed former IBM Korea CEO Eunjoo Lee as a board adviser.
Read articleNeural Concept
Neural Concept introduced an AI Design Copilot at CES 2026. The product uses spatial reasoning, physics-aware AI and generative models to create CAD-ready geometries from engineering design requirements. It supports exploration and optimization of design alternatives within existing engineering workflows.
Read articleNeural Concept
Neural Concept announced a $100 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives. Existing investors Forestay Capital, Alven, HTGF, D. E. Shaw Ventures and Aster Capital participated. The company plans to use the capital for AI product development and international commercial expansion.
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