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Senior C++ Systems Engineer (GPU Virtualization)

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Build and maintain C++ GPU virtualization software for AI and machine learning workloads. Develop low-level systems, debug production issues, and optimize performance across the stack. Requires 3+ years of C++ systems experience and a computer science degree.

Key Highlights
Build C++ GPU virtualization software for AI/ML workloads
Debug and optimize performance across system layers
Support new hardware architectures
Ship production software in an early-stage startup environment
3+ years of C++ systems engineering experience
Key Responsibilities
Develop and maintain a C++ GPU virtualization library
Research GPU oversubscription, checkpointing, and high-performance GPU systems
Support new hardware architectures and understand how changes affect the broader system
Debug production systems and diagnose performance issues across customer workloads
Trace performance problems across system layers and deliver optimized code to production
Technical Skills Required
C++ Linux Networking
Benefits & Perks
Visa sponsorship
Nice to Have
Rust
Compilers
Networking protocols
Kubernetes
Infrastructure
Distributed systems
Storage
Data ingestion

Job Description

About the Role

Join a systems engineering team building the core C++ software behind GPU virtualization for AI and machine learning workloads. You will help improve GPU utilization and scale a cloud infrastructure platform through low-level systems development and performance work.

What You'll Do

  • Develop and maintain a C++ GPU virtualization library.
  • Research GPU oversubscription, checkpointing, and high-performance GPU systems.
  • Support new hardware architectures and understand how changes affect the broader system.
  • Debug production systems and diagnose performance issues across customer workloads.
  • Trace performance problems across system layers and deliver optimized code to production.
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