$250K to $325K a year as published by the employer
Applications are completed on the employer's own site.
Develop low-level C++ software for a GPU virtualization platform and optimize system performance.
About the RoleJoin a systems engineering team building a GPU virtualization platform for AI and machine learning workloads. You will develop low-level C++ software that improves GPU utilization and performance across complex systems. What You'll DoDevelop and maintain a core C++ GPU virtualization library.
Research techniques for GPU oversubscription, checkpointing, and high-performance systems.
Help extend support for new GPU architectures by understanding system behavior across the stack.
Debug system-level issues in production environments.
Trace performance problems in customer workloads and identify opportunities for optimization.
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 diagnosing issues across system layers.
A record of delivering production software, ideally in a fast-paced startup or infrastructure environment.
Strong computer science fundamentals and a degree in computer science or a related field.
Experience with compilers, networking protocols, kernels, Kubernetes, distributed systems, or infrastructure is valuable.
Compensation & BenefitsBase salary: $250,000 to $325,000 annually. Visa sponsorship is available. LocationOn-site in San Francisco, California, United States.
and 3 more
True Talent Solutions is a Dubai-based recruitment and HR services firm.