$140,000–$180,000
Forward Deployed Engineer (US, West Coast)
Posted by Neural Concept · open on Ashby as of
$125,000–$200,000San Francisco, CAHybridFull-time
Implement tailored projects and analyze customer data using Python
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At a glance
Posted base pay
$125K–$200KBelow the median
Midpoint $163K · median $180K
Median $180K
This job$125K–$200KNot stated FDE postings50 postings · middle 50% of posted pay$151K–$204KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept
- Implementation
- Operations (not covered)
Travel Required, amount not stated
- Coding
- Writes production code
- Builds for
- External customers
- Role
- Individual contributor
What they ask for
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More like this
$130,000–$180,000
$160,000–$240,000
The job description from Neural Concept
Posted by Neural Concept on
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.
View posting at Neural Concept
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