Software Engineer - C++ Systems

USA Tech Recruit; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Relocation packages

Job summary

USA Tech Recruit is looking for a Software Engineer (C++ Systems) to work in San Francisco. This full-time onsite role focuses on optimizing high-performance GPU virtualization technology, ideal for those passionate about low-level GPU infrastructure.

The position requires exceptional C++ skills and offers relocation packages, along with visa transfer options for qualified candidates. Responsibilities include diagnosing performance issues and investigating advanced GPU topics.

Qualifications

• Exceptional C++ proficiency with potential for Rust experience.
• Proven experience with low-level systems in production.
• Strong academic record (high GPA preferred).
• Experience with compilers or kernel-level development.
• Background in optimizing NIC or C++ performance.

Responsibilities

• Optimize C++ virtualization library for low-latency execution.
• Investigate oversubscription and distributed GPU clusters.
• Support new hardware architectures with systems insight.
• Diagnose performance issues in machine-learning workflows.

Skills

C++ proficiency

Rust expertise

Performance optimization

System diagnosis

Education

Bachelor's degree in Computer Science or related field

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.
• 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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