About the Role
Join a systems engineering team building the core C++ software behind GPU virtualization for AI and machine learning workloads. You will help improve GPU utilization and scale a cloud infrastructure platform through low-level systems development and performance work.
What You'll Do
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Develop and maintain a C++ GPU virtualization library.
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Research GPU oversubscription, checkpointing, and high-performance GPU systems.
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Support new hardware architectures and understand how changes affect the broader system.
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Debug production systems and diagnose performance issues across customer workloads.
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Trace performance problems across system layers and deliver optimized code to production.
What We're Looking For
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At least 3 years of experience in C++ systems engineering, with deep C++ expertise; Rust experience is also relevant.
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Production experience with low-level systems such as operating systems, kernels, memory management, drivers, or networking.
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Experience optimizing network interface or C++ performance and tracing issues across the stack.
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A record of shipping production software beyond academic research, ideally in an early-stage startup environment.
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Strong computer science fundamentals and a degree in computer science or a related field.
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Experience with compilers, networking protocols, Kubernetes, infrastructure, distributed systems, storage, or data ingestion 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.
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