Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference
Tasks
- Build infrastructure to analyze and onboard models
- Collaborate across compiler runtime framework and hardware teams
- Collaborate with customers to optimize ML models
- Conduct system-level performance analysis
- Deploy models using continuous deployment pipelines
- Design and develop distributed inference support
- Design and implement high performance kernels
- Implement optimization techniques such as fusion sharding tiling and scheduling
- Optimize inference latency and throughput
- Perform unit and end-to-end testing
- Profile workloads and resolve bottlenecks
- Tune machine learning models for performance
Perks/Benefits
- N/A
Skills/Tech-stack
Continuous Deployment | Deep learning | Distributed Computing | Fusion | Inference Optimization | JAX | Kernel development | Level optimization | Low-level optimization | Machine Learning | Performance Tuning | Profiling | PyTorch | Python | Scheduling | Sharding | System programming | Testing | Tiling
Education
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