C++ · Java · Python · Go · Rust
ABOUT THE ROLE
Join a systems engineering team building the core of a GPU virtualization platform for AI and machine learning workloads. You will improve low-level C++ infrastructure that helps scale GPU utilization and performance.
WHAT YOU'LL DO
- Develop and maintain the core C++ virtualization library.
- Research GPU oversubscription, checkpointing, and high-performance systems.
- Extend platform support to new GPU architectures with a system-wide perspective.
- Debug systems-level issues in production environments.
- Trace and diagnose performance problems in customer workloads.
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 tracing issues across system layers.
- A track record of shipping production systems, ideally in an early-stage or fast-moving environment.
- Experience with areas such as compilers, networking protocols, kernels, infrastructure, Kubernetes, distributed systems, storage, or data ingestion.
- Strong computer science fundamentals and a relevant degree or equivalent systems background.
COMPENSATION & BENEFITS
Base salary: $250,000 to $325,000 annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California, United States.