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Systems Engineer - GPU Virtualization (C++/AI/ML)

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Join a team building a GPU virtualization platform for AI/ML workloads. Develop low-level C++ software to optimize GPU performance and utilization across complex systems. Requires 3+ years in C++ systems engineering, OS/driver experience, and production software delivery.

Key Highlights
GPU virtualization platform for AI/ML workloads
Low-level C++ systems engineering with 3+ years experience
Production debugging, performance optimization, and system-level troubleshooting
Key Responsibilities
Develop and maintain a core C++ GPU virtualization library
Research techniques for GPU oversubscription, checkpointing, and high-performance systems
Debug system-level issues in production environments
Trace performance problems in customer workloads and identify optimization opportunities
Extend support for new GPU architectures
Technical Skills Required
C++ Systems Engineering GPU Virtualization
Benefits & Perks
Base salary: $250,000 to $325,000 annually
Visa sponsorship available
Nice to Have
Rust experience
Experience with compilers, networking protocols, Kubernetes, distributed systems, or infrastructure
Degree in computer science or related field

Job Description

About the Role

Join a systems engineering team building a GPU virtualization platform for AI and machine learning workloads. You will develop low-level C++ software that improves GPU utilization and performance across complex systems.

What You'll Do

  • Develop and maintain a core C++ GPU virtualization library.
  • Research techniques for GPU oversubscription, checkpointing, and high-performance systems.
  • Help extend support for new GPU architectures by understanding system behavior across the stack.
  • Debug system-level issues in production environments.
  • Trace performance problems in customer workloads and identify opportunities for optimization.

What We're Looking For

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