Software Engineer, Systems ML (Technical Leadership)
Tasks
- Create design documents and roadmap artifacts
- Define ML systems architecture
- Define performance and correctness standards
- Develop technical roadmap for ML infrastructure
- Establish reliability invariants and correctness practices
- Evaluate emerging AI and computing technologies
- Improve ML training and inference performance
- Lead engineering programs and mentor engineers
- Solve cross system ML infrastructure challenges
- Translate ML systems research to production infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Mitigation | C++ | CUDA | Co-design | Distributed Systems | Distributed Training | GPU Architecture | Hardware-Software Co-design | Hardware/software | High Performance | High-Performance Computing | Inference Optimization | MLIR | Machine Learning | Machine Learning Compilers | Performance Computing | Python | Responsible AI | Software Co-design | TVM | XLA
Education
N/A
Roles
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