Staff Forward Deployed Engineer
About The Position
We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. This FDE, Physical Sciences role requires experience in chemistry and materials science in an industrial manufacturing setting. As an FDE, you'll embed directly with our internal biotech and materials science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development—it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months.
Requirements
- Background in chemistry, materials science, or related scientific field
- Outstanding communication skills—you'll interface directly with both executives and the manufacturing line
- Experience with data engineering, ETL pipelines, and working with complex/messy datasets
- Strong full-stack development skills with the ability to work across backend, frontend, and data layers
- Exceptional problem-solving abilities and comfort with ambiguous requirements
- Knack for product discovery and ability to pass requirements back to the platform
- Willingness to travel to customer sites for frequent and extended deployments
Nice To Haves
- Previous customer-facing or consulting experience
- Depth in controls engineering and machine learning
- Experience with scientific computing libraries (NumPy, Pandas, SciPy, RDKit)
- Familiarity with ML/AI implementation and deployment
- Familiarity with modern web technologies (TypeScript, React)
Responsibilities
- Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, molecular modeling, and more
- Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA)
- Building real-time data pipelines that transform messy scientific data into actionable insights
- Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists
- Architecting solutions that scale from proof-of-concept to enterprise-wide deployment
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
