Back to jobs
Job Description
- Analyze performance, power, and energy efficiency of current and future ML workloads to identify issues.
- Enable the peak efficiency of future and current ML systems through full-stack ML hardware-software co-design by proposing HW-aware algorithm optimization and related simulation modeling.
- Establish a deep understanding of the latest business-critical production ML models (e.g., large-language models, large embedding models) to inform optimizations of model architecture, software systems, and hardware architecture.
- Explore and define future ML accelerator system and chip architectures with objective and data-driven insights.