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À propos
Nuclearn.ai builds AI-powered software for the nuclear and utility industriestools that keep critical infrastructure reliable, efficient, and safe. Our software integrates AI-driven workflow, documentation, and research automation, and is already used at 60+ nuclear reactors across North America. You'll ship production code operators and engineers rely on every day. We're growing quickly, expanding our team and our Phoenix HQ. The work is consequential: what you build helps real plants run safer and smarter. Eligibility: U.S. citizenship or permanent residency (green card) is required due to DOE export compliance. What You'll Do
Architect scalable frontend systems that handle complex data workflows and real-time updates Build sophisticated data visualizations that make ML model outputs interpretable and actionable Design and implement component libraries that balance flexibility with consistency Optimize performance for data-heavy applications while maintaining excellent UX Collaborate deeply with backend engineers, data scientists, and domain experts to translate complex requirements into elegant interfaces Establish frontend standards and drive technical decisions across the engineering team Mentor engineers and elevate the entire team's frontend capabilities Ship features end-to-end from concept to production, owning the quality and user experience Examples of Problems You Might Own in Your First 90 Days
Building real-time monitoring interfaces used in mission-critical nuclear operations Designing complex, high-dimensional ML visualization components that make automated insights actionable Establishing a robust frontend architecture and shared component system that scales with the engineering team What Makes You a Great Fit
Technical Excellence 7+ years building production web applications with deep expertise in React and modern JavaScript/TypeScript Mastery of state management patterns (Redux, Zustand, React Query, Context, etc.) Strong computer science fundamentals, including performance optimization and debugging complex systems Experience architecting large-scale applications designed for long-term maintainability Proficiency with modern tooling (Vite/Webpack, testing frameworks, CI/CD) Product Mindset You think beyond implementationasking why and should we as often as how Experience collaborating with designers, or designing interfaces yourself when needed Track record of creating intuitive, delightful user experiences Comfortable making pragmatic tradeoffs in ambiguous and fast-changing environments Communication & Leadership Ability to explain complex technical decisions to non-technical stakeholders Experience mentoring engineers and performing thoughtful code reviews Skilled at driving consensus and influencing technical direction Thrive in a collaborative, fast-paced startup environment Self-Directed Impact Able to contribute independently within 6 weeks High degree of ownership and ability to drive problems end-to-end Proactively identifies improvements and executes on them Nice To Have (Not Required)
Experience with data visualization libraries (D3.js, Recharts, Plotly, etc.) Background in complex domains (scientific, industrial, financial, healthcare) Contributions to open source or technical writing Experience with WebGL, Canvas, or high-performance graphics Knowledge of accessibility (WCAG) and building inclusive interfaces Full-stack capabilities or strong understanding of backend systems Prior startup experience or leading engineering initiatives Impact You'll Have (Near-Term Roadmap)
Improve the reliability and usability of interfaces used daily at nuclear power plants Shape the foundation of our shared component library & frontend patterns Lead development of new visualization systems for ML-driven analysis and operator workflows Work Model & Schedule
Full-time, salaried MonFri hybrid (Wed remote); expectation is ?80% in-office (Phoenix HQ) How We Hire (Fast, Respectful, Practical)
20-min intro with the founder/hiring manager to trade context and assess mutual fit Practical work sample (6090 min; a real task in our stack) Team meet + peer programming (system design + collaboration) We aim to move from first chat to decision quickly.
Compétences linguistiques
- English
Avis aux utilisateurs
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