Edge ML Software Engineer: Model Optimization- PICO- San Jose
Summary
Optimizes AI models for edge deployment by applying quantization, converting models, and debugging performance bottlenecks in compute, memory, and scheduling.
- Apply quantization mechanisms
- Convert and compile machine learning models
- Debug functional and performance issues with cross functional teams
- Identify bottlenecks in compute memory bandwidth data movement and scheduling
- Implement hardware aware model optimization strategies
- Profile and analyze model performance and power consumption
Perks/Benefits:
- 401k savings plan with company match
- Life insurance
- Long-Term Disability coverage
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short term disability coverage
- Wellbeing benefits