AWS Utility Computing (UC) is looking to design and implement software systems to monitor, test, and improve silicon quality across their fleet of custom machine learning chips, specifically for Trainium machine learning instances.
Requirements
- 8+ years of chip design and/or embedded development experience
- Experience with test automation and continuous integration
- Knowledge of semiconductor testing methodologies
- Proficiency in one or more programming languages (C++, Python, Java)
- Experience with large-scale distributed systems
- Knowledge of hardware description languages (Verilog, VHDL)
- Background in test development for semiconductor devices
Responsibilities
- Develop and maintain systems to track silicon part quality metrics
- Create and scale functional, performance, logic and electrical tests
- Design and scale automated inspection mechanisms for quality control
- Collaborate with hardware teams to define test requirements and specifications
Other
- Bachelor's degree in Computer Science, Computer Engineering, or related field
- Experience with statistical analysis and data visualization
- Familiarity with hardware debugging tools
- work safely and cooperatively with other employees, supervisors, and staff
- adhere to standards of excellence despite stressful conditions
