GridCARE is an AI-native platform company that accelerates power delivery to large-scale AI infrastructure, including data centers, by reducing the typical years-long time-to-energize delay down to months. The company partners with data centers and electric utilities to unlock latent capacity within the existing power grid, avoiding the need to build new generation assets. By applying advanced AI analytics and large-scale data processing, GridCARE identifies underutilized grid capacity and enables faster, more efficient interconnection for high-demand compute workloads such as AI inference and sovereign low-latency computing. GridCARE's mission is closely tied to sustainability and climate goals by maximizing the utilization of existing grid infrastructure rather than requiring costly and carbon-intensive new construction. The company highlights that the US grid operates at less than 32% utilization even in its most congested locations, representing a significant opportunity to serve growing AI energy demand without proportional increases in new energy infrastructure. This approach supports a more efficient and lower-impact path to scaling AI factories. What makes GridCARE unique is its combination of AI-driven grid analytics, utility partnerships, and a platform specifically designed for large flexible loads. The company has demonstrated concrete results, including unlocking over 400 MW of capacity for Portland General Electric years ahead of schedule, securing 150 MW for AI Fabrik, and identifying 650 MW of untapped capacity on a New York utility network. GridCARE claims to create over $25 billion in value per gigawatt of accelerated power capacity delivered.

About GridCARE

GridCARE is building software for one of the hardest infrastructure problems of the AI era: finding real, reliable capacity on an increasingly constrained electric grid. Data centers, electrification, and new energy projects are creating urgent demand for power, while traditional grid upgrades and interconnection processes can take years.

Our platform combines physics-based grid modeling, AI-assisted workflows, and modern product engineering to help utilities, data center developers, and energy infrastructure teams evaluate grid constraints and move projects forward without compromising reliability. Founded at Stanford's Doerr School and backed by leading investors in energy and AI, GridCARE is working with major technology, data center, and utility partners to accelerate access to power.

About the Role

This is a senior full-stack role for an engineer who can move quickly, iterate with product and UX partners, and think carefully about long-term architecture.

You will own product surfaces and the application layer behind them: interactive workflows, data-rich interfaces, backend-for-frontend services, API integrations, and data models. You will work mostly through product managers and UX partners who represent customer needs, while collaborating with backend, data, AI, and power systems teams.

What You'll Do

• Own customer-facing product experiences for grid capacity analysis, project planning, and infrastructure decision workflows.

• Design and evolve the backend-for-frontend layer, API contracts, data access patterns, and integrations that support those workflows.

• Partner with product managers and UX designers to translate customer needs into fast iterations and shipped product improvements.

• Collaborate with backend, data, AI, and power systems teams to turn complex technical outputs into clear, reliable product experiences.

• Help shape engineering standards, architecture decisions, testing practices, and product quality for a growing engineering team.

What we’re looking for

• You have senior-level experience building and shipping production web applications.

• You have deep experience with TypeScript and modern frontend frameworks such as Next.js, React, Vite-based applications, or similar.

• You have experience integrating frontend applications with backend APIs and backend-for-frontend patterns.

• You are comfortable working with Python/FastAPI or similar backend frameworks, and with relational databases such as PostgreSQL.

• You have built data-intensive product experiences where correctness, performance, and usability all matter.

• You can clarify ambiguous requirements, make thoughtful tradeoffs, and ship useful increments quickly.

• You balance bias for action with long-term technical judgment.

Nice to have

• Geospatial interfaces, map-based products, network visualization, or scientific/data visualization.

• AI/ML product workflows, model-output review, simulation results, optimization, or time-series data.

• Energy, utilities, power systems, grid planning, interconnection, or data center infrastructure.

• Working in early-stage products where requirements change as the team learns from users.

What we offer

• A high-ownership role building customer-facing software for real infrastructure decisions.

• The chance to work at the intersection of AI, energy, geospatial data, and modern product engineering.

• A collaborative, early-stage environment where quick iteration and long-term technical judgment both matter.

• Competitive salary, equity, and a comprehensive benefits package.

• Hybrid work in Redwood City with remote flexibility, plus catered lunches and snacks.
  

Our Philosophy

We believe small teams of strong engineers can solve important, real-world infrastructure problems. We value clear thinking, strong ownership, pragmatic execution, and systems that hold up in production. If you're excited about technical leadership at the intersection of energy, infrastructure, and modern SaaS — we'd love to talk.