Location
Remote
Salary
Not specified
Type
fulltime
Posted
Today
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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