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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.
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.
Requirements
- At least 3 years of experience in C++ systems engineering, with deep C++ expertise.
- Production experience with low-level systems such as operating systems, kernels, memory management, drivers, or networking.
- Experience optimizing network interface or C++ performance and tracing issues across the stack.
- A record of shipping production software beyond academic research, ideally in an early-stage startup environment.
- Strong computer science fundamentals.
Skills
- C++
- Rust
- Operating systems
- Kernels
- Memory management
- Drivers
- Networking
- Network interface optimization
- C++ performance optimization
- Compilers
- Networking protocols
- Kubernetes
- Infrastructure
- Distributed systems
- Storage
- Data ingestion
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- 3+ years of C++ systems engineering experience
Education Level
- Degree in computer science or a related field
Salary/Compensations
- $250,000 to $325,000 annually
Benefits
- Visa sponsorship is available.