Power Management Engineer - Intermediate (CAN)

THE ROLE:
The Client Performance and Power Engineering Team carries the duty of ensuring AMD Client products deliver the best performance and lowest power consumption. We are a highly visible team that goes deep into power management features and algorithms to get the very last percent out of our ASICs. We work along and with various individuals within and outside of the team that allows us to engage in all sorts of work that impacts current and future products. This role offers the opportunity to show your passion towards CPU, APU, and GPU technology to provide users with the best experience possible.

THE PERSON:
We are seeking an experienced engineer to assist in the development of post-silicon activities related to performance and power characterization and optimization of AMD Client Computing products. We are looking for a passionate candidate to join our highly-visible team to deliver the highest performing and most power efficient products to millions of users worldwide.

KEY RESPONSIBILITIES:
Executing performance, power, and perf/watt characterization and optimization plans
Analyzing interactions between various power management features and optimize their configurations for performance and power
Proactively driving continuous improvement for post-silicon power and performance activities (e.g. updating, creating and maintaining automation tools, benchmarks and process)
Support prototyping experiments for improving current and implementing new features that impact performance and power
Debugging and troubleshooting system-level issues that may occur in test environments and platforms

PREFERRED EXPERIENCE:
Understanding of concepts in the following areas:
o computer organization/architecture
o digital/analog electronics
o power/thermal management
Strong analytical/problem solving skills and pronounced attention to detail
Outstanding interpersonal and communication skills
Experience in programming with C or C++ and Python
Experience with data analysis tools, database, machine learning is a plus (e.g. PowerBi, Excel, Matplotlib, Plotly, Tableau, R Programming, MySQL, Azure, Snowflake, PyTorch, TensorFlow, etc.)
Experience with data acquisition unit (DAQ) and debug/trace tools is also an asset

ACADEMIC CREDENTIALS:
Bachelors or Masters Degree in Computer, Electrical, or Systems Engineering and Computer Science