Senior Software Engineer (C++ Systems) – GPU Virtualization & Performance Optimization
This role focuses on optimizing high-performance C++ virtualization libraries for GPU systems, pushing microsecond-level performance boundaries. You’ll work on advanced topics like oversubscription, checkpointing, and distributed GPU clusters while supporting new hardware architectures. Ideal for engineers with deep systems expertise and a passion for low-latency, production-grade infrastructure.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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.
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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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