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
We’re looking for a Senior Software Engineer, Platform to build the shared software foundations that let GridCARE turn grid intelligence into products: secure APIs, tenant-aware authorization, integrations with job orchestration systems, and reusable application services. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of relevant software engineering experience, with a track record of building shared backend capabilities for a multi-tenant product and owning their rollout and operation in production
- Strong Python engineering skills and experience building production APIs and services with clear interfaces, tests, and maintainable data models
- Hands-on experience building shared APIs, workflow services, or identity and access capabilities on managed services, with ownership of integration code, policies, and production behavior
- Strong distributed systems fundamentals: you can reason about concurrency, partial failures, retries, idempotency, consistency, and backpressure
- Practical experience implementing multi-tenant authorization: resource ownership, fine-grained permissions, trusted context across service boundaries, and access controls that hold through asynchronous execution
More about this role
Job Type: Full-time · Hybrid
GridCARE is the pioneer of Power Acceleration — a new category 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 Energize™ platform uses physics-based AI to identify and activate 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, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure, and is backed by leading climate-tech and deep-tech investors.
⚡ 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...
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