Startups · AI

Member of Technical Staff - Lead, Machines

Modal · New York · On-site

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About Modal

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams. Backed by Accel, General Catalyst and AI Grant.

About the role

We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for Modal's machines layer: the fleet of bare metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them.

What they're looking for

  • 7+ years of experience writing high-quality production code
  • 3+ years of direct people management experience, ideally leading a team of engineers through project planning, growth, and performance conversations
  • Experience operating large fleets of physical hardware at scale (bare metal provisioning, BMC/IPMI, PXE and network boot, firmware) or building the control planes that manage them (the more challenges you've worked through, the better)
  • Strong cloud skills
  • Strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.)
  • Experience working with hardware and colocation providers, including hardware acceptance testing and benchmarking
More about this role

Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.

Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.

We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our...

Read the full posting on Modal's site ↗

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