Senior C++ Systems Software Engineer (GPU Virtualization)

USA Tech Recruit San Francisco Bay Area
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AI Summary

High-growth client seeks a C++ Systems Software Engineer to optimize GPU virtualization technology. Focus on microsecond-level performance and low-level GPU infrastructure. Requires deep systems insight and production debugging experience.

Key Highlights
Develop and optimize high-performance C++ virtualization library for GPUs.
Investigate advanced virtualization topics like oversubscription and distributed clusters.
Support new hardware architectures and perform systems-level debugging in production.
Technical Skills Required
C++ Rust Compilers Networking Protocols Kernel-level Development NIC Optimization
Benefits & Perks
Full-time, onsite position
TN / Canadian / H-1B visa transfers
Relocation packages available

Job Description


We're partnering with a high-growth client in the GPU and systems-software space to help them hire a Software Engineer (C++ Systems). This role sits at the heart of their GPU virtualization technology. It’s a strong fit for someone who enjoys pushing microsecond-level performance boundaries in complex C++ systems and wants to make an impact on low-level GPU infrastructure used at scale.


This would be a full time, onsite position in SF, and they are able to provide TN / Canadian / H-1B visa transfers but not new applications at this time. Relocation packages are also available.


Key Responsibilities:

  • Optimize a high-performance C++ virtualization library for low-latency execution.
  • Investigate advanced topics such as oversubscription, checkpointing, and distributed GPU clusters.
  • Support new hardware architectures with deep, cross-stack systems insight.
  • Perform systems-level debugging in live production environments.
  • Diagnose performance issues in machine-learning workflows across the stack.


Key Qualifications:

  • Exceptional C++ proficiency (Rust expertise also considered, though day-to-day work is in C++).
  • Proven experience building and maintaining low-level systems in production.
  • Strong academic background in Computer Science or a related field (high GPA preferred).
  • Experience with compilers, networking protocols, or kernel-level development.
  • Background in optimizing NIC or C++ performance.
  • Ability to trace and resolve performance bottlenecks through multiple layers of a system.


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