About the Role
Join a systems engineering team building low-level GPU virtualization software for AI and machine learning workloads. You will improve performance and scalability across a production GPU platform, working on complex C++ systems where microsecond-level optimizations matter.
What You'll Do
Develop and maintain the core C++ virtualization library.
Research techniques for GPU oversubscription, checkpointing, and high-performance GPU systems.
Extend system support for new GPU architectures with an end-to-end understanding of the stack.
Debug systems-level issues in production environments.
Investigate and resolve performance problems in customer workloads.
What We're Looking For
At least 3 years of experience in C++ systems engineering, with deep C++ expertise or strong Rust experience and readiness to work in C++.
Production experience with low-level systems, such as operating systems, kernels, memory management, drivers, or networking.
Experience optimizing network interface or C++ performance and tracing performance issues across system layers.
A track record of shipping production software, including work in fast-paced or early-stage environments.
Experience with one or more of compilers, networking protocols, kernels, Kubernetes, infrastructure, distributed systems, storage, or data ingestion.
Strong computer science fundamentals and a relevant degree or equivalent background.
Compensation & Benefits
Base salary: $250,000 to $325,000 USD annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.