Staff Forward Deployed Engineer

Join Form Energy as a Staff Forward Deployed Engineer, where you will tackle complex problems in research, manufacturing, field deployment, and business operations. You will work directly with teams across R&D, manufacturing, field and commercial operations, and support functions to design and build software solutions. This hands-on, senior individual-contributor role requires strong full-stack engineering skills, experience in AI-driven automation, and the ability to model complex real-world domains in software.

• Collaborer directement avec les équipes de recherche et développement, de fabrication, d'exploitation sur le terrain et commerciales pour comprendre leurs problèmes les plus difficiles et concevoir et construire le logiciel qui les résout.
• Identifier les goulets d'étranglement d'une équipe causés par un logiciel manquant, un processus manuel ou un outil fragile, et prendre la décision sur ce qui vaut la peine d'être construit.
• Diriger l'adoption de l'automatisation pilotée par l'IA dans les fonctions avec lesquelles vous êtes intégré, en prototypant et en expédiant des outils et des agents alimentés par l'IA.

• Solid engineering fundamentals: version control (Git), automated testing, CI/CD, and containerized deployment (Docker; Kubernetes a plus)
• Range and self-direction. A history of walking into unfamiliar domains, getting fluent fast, and shipping — comfortable being the sole or primary engineer on a system and owning the outcome, not just the code
• Strong full-stack engineering skills: a modern web framework (React / Next.js / TypeScript or similar) and a production back-end language and framework (Python / FastAPI strongly preferred), with solid relational data modeling (PostgreSQL, SQLAlchemy or equivalent)
• A pragmatic, ownership-minded bias toward shipping value quickly, paired with the taste to know when something needs to be built to last
• AI as a force multiplier — required, not optional. A demonstrated command of AI-assisted and agentic development to build faster and better, and a track record of embedding AI / ML into applications and workflows to remove toil and create leverage. You should be energized by driving AI adoption in others, not only using it yourself
• Ability to model a complex real-world domain in software — translating messy, expert-held knowledge into correct, maintainable systems — and the rigor to enforce invariants in the data layer, not only in application code
• Comfort working directly with non-engineering domain experts, embedded in their environment, translating ambiguous problems into shipped software — and the judgment to push back on the wrong thing and find the right one
• 8+ years building and shipping production software, with a track record of owning complex applications end to end
• Experience as a forward-deployed, solutions, or embedded engineer — working alongside the users of what you build rather than behind a backlog
• Experience building agentic or AI-automation systems for real operational workflows, and a point of view on where AI does and does not belong
• Experience with operations research / optimization or simulation (linear / mixed-integer programming, discrete-event simulation) — a strong plus for the harder modeling problems you'll meet
• Experience with enterprise data platforms (Snowflake, dbt) and the discipline of read-only vs. writable system boundaries
• Experience integrating with ERP (Oracle), PLM (Arena), MES, or requirements-management (Jama) systems
• Experience with enterprise identity / SSO (Microsoft Entra ID, OIDC)
• Fluency in a technical domain adjacent to Form Energy's work — hardware, manufacturing, energy, scientific computing, or laboratory/industrial environments
• Experience in a high-growth technology or first-of-a-kind manufacturing environment