Senior Manager, AI Infrastructure Operations

🕒 July 6

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Vultr

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

💰 $329M Debt Financing - Vultr on 2025-06

Artificial Intelligence • B2B • Hardware

Vultr is a global cloud infrastructure provider offering on-demand virtual machines, bare-metal servers, GPU-accelerated instances, managed databases, object and block storage, Kubernetes, and networking services. The platform emphasizes AI and HPC workloads with a broad selection of AMD and NVIDIA GPUs, fast networking, and 32+ data center regions, plus a marketplace of deployable apps and developer-friendly APIs. Vultr targets developers and businesses seeking affordable, scalable, and compliant cloud compute and storage alternatives to hyperscalers.

📋 Description

• Lead the engineering team responsible for the day-to-day implementation, scaling, and operation of AI compute clusters. • Translate engineering roadmaps and technical requirements from the Director of AI Infrastructure into detailed project plans and execution milestones. • Drive delivery of cluster deployments, hardware bring-up, node configuration, and integration with orchestration and scheduling systems. • Ensure cluster reliability, uptime, and performance through monitoring, automation, and continuous operational improvements. • Oversee lifecycle operations for bare metal and GPU fleets, including provisioning, configuration management, firmware/driver updates, and hardware validation. • Manage incident response for GPU and cluster infrastructure, ensuring timely resolution and root-cause analysis. • Work closely with AI/ML, SRE, Networking, and Hardware Engineering teams to ensure cluster capabilities meet training and inference needs. • Coordinate with Product to confirm technical requirements, feature readiness, and delivery timelines. • Support integrations across networking, storage, scheduler, and resource orchestration components. • Improve tooling and automation for cluster provisioning, observability, configuration management, and large-scale fleet operations. • Contribute to the development and refinement of multi-tenant scheduling, workload management, and orchestration systems in partnership with senior technical staff. • Identify performance bottlenecks and propose engineering-level optimizations. • Coach and mentor engineers, fostering a high-performance, detail-oriented engineering culture. • Support career development, expectations, and performance management for team members. • Help refine engineering processes, including code reviews, testing standards, documentation, and operational runbooks.

🎯 Requirements

• 6–10 years of experience in infrastructure engineering, HPC, large-scale systems, or similar fields • Strong understanding of AI compute infrastructure, including GPU/CPU clusters, distributed training architectures, and high-performance networking (InfiniBand/RDMA) • Experience running production bare metal, GPU, or hardware fleet operations at meaningful scale • Hands-on expertise with Linux systems, Kubernetes or Slurm, provisioning tools (Terraform, Ansible), observability platforms, and networking fundamentals • Proven track record in cluster operations, hardware bring-up, distributed systems, or ML workload support • Experience leading engineering teams or pods, with the ability to manage execution while staying close to technical work • Ability to communicate effectively with cross-functional engineering teams and translate strategy into actionable engineering tasks • Strong execution mindset with the ability to prioritize, deliver, and adapt in a fast-paced environment.

🏖️ Benefits

• Excellent Medical Benefits w/ 100% company-paid premiums for employee only plan + 100% company-paid dental & vision premiums • 401(k) plan that matches 100% up to 4% with immediate vesting • Professional Development Reimbursement of $2,500 each year • 11 Holidays + Paid Time Off Accrual + Rollover Plan + take your birthday off • Increased PTO at 3 year & 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year • $500 first year remote office setup + $400 each following year for new equipment • Internet reimbursement up to $75 per month • Gym membership reimbursement up to $50 per month • Company-paid Wellable subscription