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True Talent Solutions Partners is seeking a skilled systems engineer to join our GPU virtualization and cloud infrastructure team in San Francisco. You will advance low-level C++ software, drive performance optimizations, and contribute to research on oversubscription, checkpointing, and architectures.
The role emphasizes production experience with OS/kernel-level components, networking performance, and a track record shipping practical software in fast-paced environments.
Join a GPU virtualization and cloud infrastructure team building low-level systems software for AI and machine learning workloads. You will help improve GPU utilization and platform performance through production C++ development and systems research.
Develop and maintain the core C++ GPU virtualization library.
Research GPU oversubscription, checkpointing, and high-performance systems techniques.
Extend platform support to new GPU architectures, considering interactions across the system.
Debug systems-level issues in production environments.
Trace and diagnose performance problems in customer workloads.
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, or drivers.
Experience optimizing networking or NIC performance and tracing performance issues across system layers.
A record of shipping production software beyond academic research, ideally in an early-stage, fast-paced environment.
Strong computer science fundamentals and a degree in computer science or a related field.
Familiarity with compilers, networking protocols, kernels, Kubernetes, infrastructure, or distributed systems is valuable.
Base salary: $250,000 to $325,000 annually. Visa sponsorship is available.
On-site in San Francisco, California, United States.