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GridCARE
Redwood City, California, United States
Source: GridCARE careers · View original posting
From GridCARE's posting. “We” and “our” refer to the employer.
GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory:
immediate access to power.
As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.
Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.
⚡ Work at the intersection of AI, energy, and infrastructure
— the foundation of the next industrial revolution.
🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.
🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.
🚀 Join a company defining a new category — capacity acceleration for AI.
💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.
GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid
Portland General Electric invests in AI-powered flexibility to speed data-center connection
We're looking for a Senior SRE to own the reliability, scalability, and observability of our production systems. You'll work closely with platform and data engineering to keep high-throughput, data-intensive services running at the availability our customers (utilities, data center operators) require.
Competitive salary, performance bonus, and equity.
Comprehensive health, dental, and vision coverage.
Lunch provided three days a week in office.
Hybrid schedule for local employees: 3 days in office for collaboration, 2 days remote for focused work.
Access to leading academic, industry, and government partners in the AI-energy ecosystem.
A mission-driven team focused on shaping the future of the energy transition.
Compensation
$180,000-$230,000 Total
Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.
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