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Emerald AI
Software Engineer - Backend/Distributed Systems
Emerald AI
San Francisco•Hybrid•20 hours ago
Job description
AIenergygriddistributed systemsbackendscalability
Overview
We're hiring a Distributed Systems / Backend Engineer to serve as a key contributor on the core backend platform powering Emerald AI. This is a high-impact role: you will drive architectural decisions, introduce best practices, build foundational infrastructure, and help guide the evolution of our real-time energy intelligence engine.
Responsibilities
- Designing and scaling systems that interact with real-world energy infrastructure
- Building high-performance services and APIs that power core product workflows
- Tackling hard problems in reliability, data modeling, and system design
- Shipping end-to-end features—from idea to production
- Improving system observability, performance, and fault tolerance
- Partnering closely with product to turn ambiguous problems into shipped solutions
Qualifications
- Experience with distributed systems or data-intensive applications
- Experience building and operating backend or infrastructure systems focused on reliability, performance, and scalability
- Interest in grid systems, energy orchestration, and applying AI to real-world infrastructure
- Experience working on real-time or near real-time systems
- Comfort operating in ambiguous environments and turning open-ended problems into production systems
- Strong system design skills including tradeoffs across latency, consistency, and scalability
- Ability to work across the stack when needed to unblock progress
Nice to have
- Experience with distributed systems or data-intensive applications
- Backend or infrastructure systems focused on reliability, performance, and scalability
- Interest in grid systems, energy orchestration, applying AI to real-world infrastructure
- Experience working on real-time or near real-time systems
- Comfort operating in ambiguous environments and turning open-ended problems into production systems
- Strong system design skills including tradeoffs across latency, consistency, and scalability
- Ability to work across the stack when needed to unblock progress
Education
- Bachelor's degree in Computer Science, Computer Engineering or related field
Benefits
- Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.
- Join a world-class team of AI, cloud, software, and energy experts in a collaborative, low-ego environment.
- Build from 0→1. Influence strategy, GTM, org design, and customer/investor engagement from day one.
- Competitive pay + equity (stock options)
- Comprehensive benefits including medical, dental, vision, and 401(k) matching
- Flexible location - D.C., Boston, or Bay Area with 1 WFH day/week