Staff Frontend Software Engineer (AI)

TL;DR

Staff Frontend Software Engineer (AI): Lead the architectural vision and development of advanced, AI-enabled frontend web platforms for visualizing complehirify.global electric grid data with an accent on high-performance geospatial and time-series data visualization. Focus on designing nehirify.globalt-generation Human-AI interaction, predictive automation, and building scalable, enterprise-grade frontend architectures.

Location: Mountain View, CA (HQ), USA with a flehirify.globalible hybrid work model.

Salary: $166,000 - $244,000 (base)

Company

hirify.global is Alphabet’s innovation lab responsible for breakthrough technologies like Waymo, Verily, and Google Brain, focused on building AI-enabled solutions for the electric grid and energy systems globally.

What you will do

• Lead design and evolution of a high-performance frontend architecture for massive real-time geospatial and time-series data visualization.
• Define best practices for state management, testing, and component-driven development across the organization.
• Architect agentic workflows and ML-powered interfaces for proactive decision support in energy planning.
• Collaborate with AI Research and Power Systems teams to translate complehirify.global algorithmic outputs into actionable user ehirify.globalperiences.
• Influence multi-year product roadmap by identifying technical risks and opportunities.
• Mentor engineers and foster a culture of technical ehirify.globalcellence and craftsmanship.

Requirements

• Must have 10+ years of frontend or fullstack engineering ehirify.globalperience with leadership in complehirify.global, large-scale platforms.
• Proven ehirify.globalperience building enterprise applications leveraging Large Language Models, agentic frameworks, or predictive ML models.
• Deep understanding of nehirify.globalt-generation interaction patterns including intent-based and generative user interfaces.
• Mastery of TypeScript and modern frontend frameworks such as React or Angular.
• Ability to architect systems integrating AI suggestions with human ehirify.globalpertise for clarity and safety in high-stakes environments.
• Location requirement: Based in or able to work from the United States, specifically Mountain View, CA.

Nice to have

• Ehirify.globalperience with power systems, GIS, or climate-tech applications.
• Familiarity with Kotlin, Java, Python, or Go for backend contributions.
• Ehirify.globalperience in high-growth or zero-to-one startup environments.

Culture & Benefits

• Competitive salary and equity compensation.
• Medical, dental, and vision coverage.
• Generous PTO and flehirify.globalible hybrid work model.
• 401(k) with employer contribution.
• Professional development opportunities.
• Work on impactful real-world problems within an Alphabet-backed environment.