Technical Staff Engineer

To enhance the performance of ML workloads, the full-time Technical Staff Engineer will build and optimize production runtime infrastructure in Rust and Go, focusing on container performance and debugging complex systems issues in a remote environment. Key responsibilities Optimize container startup, checkpoint, and restore processes for large inference and training workloads Design and implement efficient data paths and snapshotting for multi-GPU and accelerator-aware systems Debug and resolve complex failures involving system calls, virtual memory, and kernel behavior across the runtime and infrastructure Required qualifications Strong knowledge of Linux systems, including processes, virtual memory, and filesystems Experience building or debugging container runtimes or low-level infrastructure Proficiency in Rust, Go, or another systems programming language Experience profiling and optimizing systems with a focus on memory movement and I/O performance A demonstrated ability to transform loosely defined production problems into reliable systems Experience: 3 years required