$250K to $325K a year as published by the employer
Applications are completed on the employer's own site.
Develop and maintain core C++ virtualization library for GPU workloads while optimizing low-level systems performance.
About the RoleJoin 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 DoDevelop 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 ForAt 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 & BenefitsBase salary: $250,000 to $325,000 annually. Visa sponsorship is available. LocationOn-site in San Francisco, California, United States.
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