Senior/Staff React Frontend Engineer

Posted 3 Days Ago
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Phoenix, AZ
In-Office
Senior level
Artificial Intelligence • Cloud • Information Technology • Analytics • Business Intelligence • Cybersecurity • Automation
Artificial Intelligence for the Nuclear Power Industry. Augment your people. Accelerate your processes.
The Role
Architect scalable frontend systems, optimize performance for data-heavy applications, mentor engineers, and build user-friendly data visualizations. Collaborate with teams to create elegant interfaces for complex data workflows.
Summary Generated by Built In
Senior/Staff React Frontend Engineer Why Nuclearn.ai

Nuclearn.ai builds AI-powered software for the nuclear and utility industries—tools 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 implementation—asking 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 stakeholder
  • 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
  • Mon–Fri hybrid (Wed remote); expectation is ≥80% in-office (Phoenix HQ)
How We Hire (fast, respectful, practical)
  1. 20-min intro with the founder/hiring manager to trade context and assess mutual fit
  2. Practical work sample (60–90 min; a real task in our stack)
  3. Team meet + peer programming (system design + collaboration)
    We aim to move from first chat to decision quickly.

Top Skills

JavaScript
React
React Query
Redux
Typescript
Vite
Webpack
Zustand
Am I A Good Fit?
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The Company
HQ: Phoenix, Arizona
18 Employees
Year Founded: 2020

What We Do

With over 60 reactors around the world relying on our technology, Nuclearn is built on one simple idea: nuclear deserves better tools. Our team—made up of nuclear professionals and engineers—set out to modernize the industry by applying AI to some of its most critical, and often outdated, processes.

“We saw this massive gap,” said Bradley Fox, CEO and co-founder. “You’ve got the tech to split atoms, but a lot of the supporting work is still done with decades-old systems. We knew AI could help streamline that complexity—making things safer, faster, and more efficient. It’s a win for the plants, and for the future of clean energy.”

Jerrold Vincent, our CFO and co-founder, adds: “Back in 2016, we recognized the potential for AI to support nuclear—not just in cutting costs, but in preparing the next generation of workers. That’s why we started Nuclearn. We believe AI is one of the best tools we have to keep nuclear strong for the long haul.”

The software we’ve built isn’t generic. It’s nuclear-specific, pre-trained, and ready to go—designed by people who’ve lived the process and know exactly what this industry needs.

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