Member of Technical Staff - Inference Runtime

Highlights

• Make demanding ML workloads start quickly and run efficiently at scale.
• Dramatically speed up container startup, checkpoint, and restore.
• Shape the architecture of Modal's container platform for ML.

What they offer

• Equity

Ideal candidate

A curious systems thinker who loves working deep in the stack and owning critical infrastructure. You thrive turning ambiguous production problems into reliable, high-impact systems.

Requirements

• Strong Linux systems knowledge across processes, virtual memory, filesystems, syscalls, scheduling, namespaces, cgroups and signals
• Experience building or debugging container runtimes, sandboxes, kernels or other low-level infrastructure
• Strong programming ability in systems languages with interest in Rust and Go
• Experience profiling and improving systems bound by memory movement, I/O, synchronization or kernel interaction
• Comfort debugging across abstraction boundaries from applications through drivers and kernel
• Ability to turn loosely defined production problems into reliable, well-designed systems
• Desire to own critical infrastructure and work closely with internal teams and customers