Job Description
As a Software Developer in GPU Infrastructure Automation, you will be responsible for designing, developing, and optimizing software solutions that effectively manage and schedule GPU resources. You will work closely with various software teams to ensure seamless integration and optimal performance of our GPU infrastructure.
Key Responsibilities
- Design and implement GPU cluster management and observability tools.
- Develop tools and APIs for other computational layers.
- Conduct performance profiling and optimization using tools like NVIDIA Nsight.
- Participate in code reviews, design discussions, and continuous integration/continuous deployment (CI/CD) processes.
- Validate GPU cluster performance with benchmarking tools likeMLPerf.
- Implement and maintain synchronization mechanisms for managing concurrency and shared resources.
- Developing infrastructure software tool kit for GPU clustering, capacity and scheduling automation
Required Skills and Qualif...
Key Responsibilities
- Design and implement GPU cluster management and observability tools.
- Develop tools and APIs for other computational layers.
- Conduct performance profiling and optimization using tools like NVIDIA Nsight.
- Participate in code reviews, design discussions, and continuous integration/continuous deployment (CI/CD) processes.
- Validate GPU cluster performance with benchmarking tools likeMLPerf.
- Implement and maintain synchronization mechanisms for managing concurrency and shared resources.
- Developing infrastructure software tool kit for GPU clustering, capacity and scheduling automation
Required Skills and Qualif...
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