Quick overview
Job description
About the Role
Join a systems engineering team building software for GPU virtualization and cloud infrastructure. You will develop low-level C++ technology that improves GPU utilization and supports demanding AI and machine learning workloads.
What You'll Do
Develop and maintain a core C++ GPU virtualization library.
Research techniques such as GPU oversubscription and checkpointing, and apply them to high-performance systems.
Support new GPU architectures by understanding how changes affect the broader system.
Debug system-level issues in production environments.
Trace performance problems across the stack and diagnose issues 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 management, drivers, or networking.
A track record of optimizing performance, including NIC or C++ workloads, and tracing issues across system layers.
Experience shipping production software beyond academic research and delivering effectively in an early-stage environment.
Knowledge of compilers, networking protocols, kernels, Kubernetes, infrastructure, or distributed systems is valuable.
Strong computer science fundamentals and a relevant degree or equivalent experience.
Compensation & Benefits
Base salary is $250,000 to $325,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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