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Member of Technical Staff - Machines

Modal· Engineering
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San Francisco, New York$250k - $300kFull-timePosted 4w ago

About the role

Engineer to design, build, and maintain Modal's machines layer, including bare metal and cloud hosts, control plane, and automation to provision, image, monitor, and repair fleet across datacenters and hardware providers.

Responsibilities

  • Design, build, and maintain the novel, high-performance systems that make up Modal's serverless platform (machines layer)
  • Automate integration of new capacity from hardware providers; audit and benchmark hosts and clusters
  • Maintain machine images, configure GPUs, RDMA, networking, and storage
  • Get machines into production and keep the fleet healthy with minimal human intervention
  • Detect bad GPUs, thermals, disks; debug across layers (kernel panics, boot issues, container runtime on new architectures)
  • Work across the hardware-software boundary (kernel, drivers, networking, containers) and respond to production incidents

Qualifications

  • 5+ years of experience writing high-quality production code
  • Experience operating fleets of physical hardware (bare metal provisioning, BMC/IPMI, PXE or network boot, firmware) or building control planes that manage them
  • Strong cloud skills
  • Strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers)
  • Effective at debugging across layers (e.g., BGP flapping, Linux RPS, vBIOS bugs) and with Python control-plane services
  • Willingness to participate in on-call rotation and production incident response

Skills

Required:Production-grade software developmentBare metal provisioningCloud computingLinux kernel and networkingDebugging across system layers
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Modal

High-performance AI infrastructure

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.

AI infrastructureBatchGPU scalingInferenceML workloadNotebooksObservabilityPlatform
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