About Emerald AI
We’re at a pivotal moment for AI and energy. Demand for compute is skyrocketing, but power constraints are becoming a critical bottleneck. Emerald AI sits at the intersection of these two worlds, enabling AI data centers to scale without overwhelming the grid.
Our Emerald Conductor software platform makes data centers flexible and responsive, allowing them to adjust power usage dynamically. This unlocks massive AI growth without major new infrastructure, while also strengthening the grid and supporting the expansion of renewable energy.
We’re a team of experts across AI, cloud, software, and energy—on a mission to scale AI sustainably. We’re backed by leading investors and partners including Radical Ventures and NVIDIA.
Learn more about our vision, team, and backers at
https://www.emeraldai.co/
.
About the Role
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.
You’ll work across ingestion, compute, storage, and system orchestration—designing components that must be highly reliable, resilient, and capable of operating at scale. As one of the early engineering hires, you’ll have a major influence on our stack, roadmap, and long-term technical direction.
We’re looking for talent ranging from mid-level to
highly seasoned senior contributors with expertise in backend systems.
Key Responsibilities
- Build scalable and reliable services, and APIs, used by both internal teams and enterprise customers.
- Continuously optimize performance across GPU clusters, cloud infrastructure, and backend systems.
- Implement observability, reliability, and security best practices
- Proactively identify technical debt, performance bottlenecks, and strategic opportunities for architectural improvements
- Collaborate closely with engineers, product managers, and energy domain experts to translate system constraints into scalable solutions.
- Guide other engineers through technical design reviews, mentorship, and high-quality code standards.
Minimum requirements
- 5+ years of software engineering experience with a focus on backend or distributed systems development.
- Extensive experience designing, building, and maintaining microservices architectures and distributed systems at scale
- Advanced system design capabilities with demonstrated expertise in performance optimization, horizontal scaling, and high-availability patterns
- Solid understanding of system performance, profiling, and optimization.
- Experience with object-oriented programming languages such as but not limited to: Python, Go, or Java
Preferred requirements
- Experience with AI/ML frameworks or libraries (e.g., TensorFlow, PyTorch) and familiarity with MLOps tools or workflows for deploying machine learning models into production.
- Understanding of cluster resource management and scheduling systems (e.g., experience with Slurm or similar job schedulers) and principles of efficient resource provisioning for compute-intensive workloads.
What We Offer
- 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.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
Emerald AI strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.
Inclusiveness is core to our culture at Emerald AI, and we strive to ensure you get the most from your interview experience. Emerald AI makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.
