
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.
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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.
• Own infrastructure deployments for new capacity and site expansions end-to-end, including hardware vendor and OEM dependencies, architecture updates, compute platform foundations, commissioning gates, and first customer cluster delivery • Lead Deployment Phase 0 by defining firmware version targets, commissioning gate criteria, and the DRI matrix • Manage dependencies across hardware generations, production programs, and capacity expansion projects • Own real-time execution dashboards and deliver data-driven executive updates • Govern cross-organizational dependencies without waiting for escalation authority • Coach junior TPMs on technical depth, risk identification, and executive communication • Drive AI tool integration across programs for program tracking, risk detection, and executive communication
• Deep working fluency with GPU and accelerator architecture across hardware generations • Knowledge of firmware lifecycle, including driver stacks, BIOS/BMC • Knowledge of compute orchestration, SDN, storage, networking, leaf-spine topology, ZTP, fabric commissioning, and monitoring/observability • Direct ownership of GPU or OEM certification and validation timelines • Active daily use of AI tools for risk detection, dependency mapping, data analysis, and executive communication • 7+ years as a Technical Program Manager • Track record of owning infrastructure deployment programs end-to-end at a hyperscaler, GPU cloud provider, or AI infrastructure company • Experience with large-scale capacity expansion projects ideally • Ability to define deployment engagement models from scratch and implement them across engineering organizations • Track record of driving cross-organizational alignment at VP/SVP level without formal authority • Exceptional written and verbal communication for clear, data-driven, decision-oriented executive updates • Experience defining or substantially redesigning commissioning gate frameworks is a bonus • Experience coaching or developing junior TPMs is a bonus
• Competitive compensation and equity packages • Paid time off, paid holidays & leave of absence programs • Comprehensive health, dental & vision insurance • Home office stipend • 401(k) Retirement plan with company match up to 4% of salary • Bonus
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