GPU virtualization · C++ · machine learning workloads
ABOUT THE ROLE
Join a systems engineering team building a GPU virtualization platform for AI and machine learning workloads. You will develop low-level C++ software that improves GPU utilization and performance across complex systems.
WHAT YOU'LL DO
- Develop and maintain a core C++ GPU virtualization library.
- Research techniques for GPU oversubscription, checkpointing, and high-performance systems.
- Help extend support for new GPU architectures by understanding system behavior across the stack.
- Debug system-level issues in production environments.
- Trace performance problems in customer workloads and identify opportunities for optimization.
WHAT WE'RE LOOKING FOR
- At least 3 years of experience in C++ systems engineering, with deep C++ expertise; Rust experience is also relevant.
- Production experience with low-level systems such as operating systems, kernels, memory, or drivers.
- Experience optimizing network interface or C++ performance and diagnosing issues across system layers.
- A record of delivering production software, ideally in a fast-paced startup or infrastructure environment.
- Strong computer science fundamentals and a degree in computer science or a related field.
- Experience with compilers, networking protocols, kernels, Kubernetes, distributed systems, or infrastructure is valuable.
COMPENSATION & BENEFITS
Base salary: $250,000 to $325,000 annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California, United States.