# Member of Technical Staff - Inference Runtime at Modal

- Company: Modal
- What the company does: 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.
- Company website: https://modal.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $220K to $300K base salary per year (USD)
- Posted: 2026-10-05
- Apply by: 2026-11-23
- Apply: https://jobs.ashbyhq.com/modal/6195f552-ca6f-4540-b7f6-e7e6054e47ad?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/modal-member-of-technical-staff-inference-runtime/

## About the role

Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

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

Tags: Engineering Department

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/modal-member-of-technical-staff-inference-runtime/