GridCARE provides AI software for electrical grid capacity planning. The company provides the ENERGIZE platform, which analyzes grid conditions, identifies underused transmission capacity, and supports faster power activation for large-scale AI infrastructure... Backed by Overture.
About the role
Build a cloud native backend platform that is reliable, real time, scalable, and secure , including: Integrations with simulation, forecasting, optimization, and market modules
What they're looking for
- 7+ years of experience architecting, implementing, and operating cloud native, real-time backend systems that are highly available, reliable, secure, and scalable
- Strong software architecture, distributed systems, concurrency, and security fundamentals
- Proficiency in at least one backend language, e.g., Python
- Strong experience with REST/gRPC API design and event-driven architectures
- Experience with time series data, real time streaming, and databases across relational and non relational systems (e.g., Kafka, MQTT, TimescaleDB, or similar)
- Hands-on experience with containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, deployment automation, and production operations
More about this role
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.
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