
11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
Artificial Intelligence • Hardware • Enterprise
Evergrid. ai is a company that designs, deploys, and operates large-scale AI infrastructure for labs, hyperscalers, enterprises, and institutions. They deliver managed AI application deployment and optimization (dedicated inference endpoints, hardware-specific optimizations, multi-model routing), compute platforms (Kubernetes, Slurm, networking, and scalable storage), and fleet & infrastructure services (fleet ops, burn-in, factory deployments) with 24/7 monitoring and enterprise SLAs. Backed by compute partners and offering emerging hardware and gigascale capacity (>1GW under development), Evergrid. ai focuses on providing frontier-level AI infrastructure with predictable cost profiles and operational support.
🕒 July 28
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11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
Artificial Intelligence • Hardware • Enterprise
Evergrid. ai is a company that designs, deploys, and operates large-scale AI infrastructure for labs, hyperscalers, enterprises, and institutions. They deliver managed AI application deployment and optimization (dedicated inference endpoints, hardware-specific optimizations, multi-model routing), compute platforms (Kubernetes, Slurm, networking, and scalable storage), and fleet & infrastructure services (fleet ops, burn-in, factory deployments) with 24/7 monitoring and enterprise SLAs. Backed by compute partners and offering emerging hardware and gigascale capacity (>1GW under development), Evergrid. ai focuses on providing frontier-level AI infrastructure with predictable cost profiles and operational support.
• Architect and build the unified web console that serves as the Mission Control for our users, enabling them to manage tenancy, identity, and compute resources from a single pane of glass. • Develop complex provisioning workflows that simplify the deployment of high-density resources (e.g., bare metal MI300x clusters, H100 nodes) into single-click experiences. • Implement real-time state management to handle asynchronous infrastructure events, ensuring the UI always reflects the true state of provisioning, scaling, and recovery. • Build high-performance dashboards to visualize granular GPU usage metrics, thermal health, and cluster load without performance lag. • Create interactive financial visualizations for the Revenue Center, allowing users to drill down into compute, storage, and network costs across different zones and regions. • Design visual topologies that show users exactly how their workloads are distributed across nodes, racks, and high-performance interconnects. • Engineer the frontend experience for Notebooks as a Service, creating a robust wrapper for launching and managing data science environments directly in the browser. • Build low-latency, web-based interfaces for Deployment as a Service, simplifying the complexity of container image selection, replica scaling, and inference configuration. • Optimize the UI for high-frequency updates, ensuring that AI Services (like model training progress or inference latency) are displayed in real-time.
• 5+ years of experience building complex, data-heavy single-page applications (SPAs) using React and TypeScript. • Deep proficiency with Next.js for handling hybrid rendering strategies (SSR/CSR) and performance optimization. • Strong skills in data visualization using libraries like D3.js, Recharts, or Visx to render complex timeseries data and resource topologies. • Experience building Developer Tools or infrastructure dashboards—you understand the difference between a marketing site and a mission-critical console. • Use of AI in your workflow to accelerate prototyping and development. • A User-First approach to complexity: You can take intricate concepts like Virtual GPUs and Kubernetes Schedulers and abstract them into simple, elegant UI components.
• Competitive base salary • Equity
Apply Now🕒 July 28
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