Senior Software Engineer, ML Performance Infrastructure
Tasks
- Build data collection analysis and visualization workflows
- Collaborate across hardware driver runtime and performance analysis teams
- Collect and analyze profiling data
- Drive model optimization and chip profiling requirements
- Propose hardware features for performance
- Provide visualizations and user actionable advice
- Support machine learning paradigms
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Compute technology | Data Storage | Data Structures | Data structures algorithms | Distributed Systems | GPU Performance | GPU Programming | GPU performance analysis | Hardware Architecture | Information Retrieval | JAX | Java | Language Processing | Large-Scale System Design | Large-scale | Large-scale system | Machine Learning | Natural Language | Natural Language Processing | Networking | Networks | Open Source | Open-Source Development | Performance Analysis | PyTorch | Python | Security | Source development | Storage Architecture | System design | TPU Performance | TPU Performance Analysis | TensorFlow | XLA
Education
Regions
Countries
States
Cities
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