# Member of Technical Staff - Inference Runtime

Hiring organization: [Modal](https://career.thegoodapps.co/organizations/modal)

Canonical page: https://career.thegoodapps.co/jobs/bed0c9e9-16a0-4592-9822-5f79a961a2b0

Listed on Modal's own careers site. Applications go to them directly.

- Location: San Francisco, CA
- Salary: 220000 – 300000 USD per year

## Summary

Modal is seeking a systems engineer to own the container runtime stack that powers inference and training workloads across their AI infrastructure platform. This role involves building low-level systems in Rust and Go, optimizing startup times and memory efficiency, and debugging complex interactions between Linux, containers, GPUs, and distributed systems.

_Our summary, not Modal's wording._

## Skills named

CUDA, Go, Kubernetes, Linux Kernel, Rust

## Required

- Strong Linux systems knowledge (processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, signals)
- Experience building or debugging container runtimes, sandboxes, or low-level infrastructure
- Strong programming ability in Rust, Go, or another systems language
- Experience profiling and optimizing systems dominated by memory movement, I/O, or kernel interactions
- Ability to debug across abstraction boundaries from applications to kernel
- Ability to turn production problems into well-designed, reliable systems
- Willingness to own critical infrastructure and work with internal teams and customers

## Nice to have

- gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems experience
- Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying experience
- CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling experience
- RDMA and high-performance networking experience
- FUSE, EROFS, direct I/O, mmap, or page-cache behavior experience
- Large-memory or multi-GPU inference and training systems experience
- Open-source systems software contributions

Apply on Modal's site: https://jobs.ashbyhq.com/modal/6195f552-ca6f-4540-b7f6-e7e6054e47ad/application
