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Forward Deployed Engineer at Foresight Data Machines
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-03-11
Listing for:
Jack & Jill
Full Time
position Listed on 2026-03-11
Job specializations:
-
Software Development
Software Engineer, AI Engineer
Job Description & How to Apply Below
Foresight Data Machines is looking for a Forward Deployed Engineer to act as the "CTO of a deployment," building AI that makes billion-dollar decisions for the metals industry. Based in Austin or London, you'll spend 25-75% of your time on‑site at massive factories, translating physics and chemistry challenges into production‑ready software.
If you have exceptional engineering talent and want a high‑autonomy role where you ship to production daily without the friction of heavy process, this is your chance to solve real‑world problems at the intersection of heavy industry and cutting‑edge AI.
Company DescriptionForesight Data Machines – AI technology for the metals industries
Why this role is remarkable- Impact real‑world industrial operations by building AI that makes billion‑dollar decisions in 24/7 high‑volume production environments.
- Enjoy a high‑autonomy, low‑process culture where you can design and ship features to production daily without central planning bottlenecks.
- Work at the unique intersection of heavy industry, physical sciences, and cutting‑edge software engineering, spending 25–75% of your time on‑site.
- Identify and analyze customer problems rooted in manufacturing operations, physics, and chemistry to design bespoke technical solutions.
- Build and rapidly iterate on prototypes, writing frontend and backend code while developing data models and automation infrastructure.
- Collaborate closely with a co‑located team of engineers and designers in a fast‑paced office environment with zero‑latency communication.
- Demonstrates exceptional technical ability through previous experience in early‑stage startups, competitive hackathons, or impressive open‑source contributions.
- Possesses a strong engineering background with a degree in Physics, Mathematics, or Computer Science and fluency in Python, C/C++, or Go.
- Thrives in uncertain, dynamic environments and is excited to travel extensively to work hands‑on in massive industrial factory settings.
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