Applied Machine Learning Engineer, Platform Architecture
Tasks
- Analyze hardware data for architecture insight
- Apply ML to drive decisions and optimize policies
- Build ML and generative AI systems
- Build stateful multi turn agentic frameworks
- Conduct performance power tradeoff exploration
- Develop time series analysis and feature engineering
- Drive hardware and software changes through product lifecycle
- Study and improve SoC performance and power behavior
- Train large scale models on distributed clusters
- Work with silicon and OS teams to implement changes on real hardware
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Frameworks | C++ | Clock gating | Data Analysis | Deep learning | Distributed Training | Dynamic voltage and frequency scaling | Feature Engineering | Frequency Scaling | Machine Learning | Policy Optimization | Power Management | Power gating | Python | Series analysis | Sleep States | SoC Architecture | System Architecture | Time Series | Time Series Analysis
Education
Regions
Countries
States
Cities
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