
Description
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences – from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.
Together, we advance your career.
THE ROLE:
This is a role in post-silicon power and performance engineering team who will act as end-to-end owner for System/APU/GPU performance optimization from first silicon to production. This role needs to have stronger data scientific sense which can learn and build power and performance data insight structure via well-using internal experiment data including the whole data analytic process from data collecting, clean, modelling , templating, insights, and visualization.Technically it requires the person to have a clear understand of key performance influence factors in silicon design and implementation, also understand how to collaborate with the critical program milestone and be responsible to drive across sites and across teams for performance related feature readiness and data analytics.
THE PERSON:
The person needs to be passionate and well self-motivated, sensitive to the delivery urgency and the innovation path, a good communicator with teamwork spirit, eager to learn new knowledge, able to resolve complex problem. The person needs to have a natural interest in mathematic algorithms, logical coding and beauty of data telling. The person needs to be enthusiasm on data analytic job.
KEY RESPONSIBILITIES:
- Work closely with internal data producing team and external automation framework team to develop engineering experience-based power and performance data analytic process and visualization structure.
- Work closely with SOC design team & program lead team to understand performance target and validation methodology for APU/GPU Component and overall reference design System
- Develop system and component level performance test strategies and plans.
- Attend ASIC bring-up and validation, ensure coverage and schedule.
- Execute performance test plans for APU/GPU/System and give out the improvement suggestion.
- Compose validation reports and provide future test plan improvement.
- Work with CE team to understand Customer expectations of power and performance design and support debugging.
- Automate some of manual tests in Shell/Python or other scripting language.
PREFERRED EXPERIENCE:
- Strong knowledge of the X86 CPU and GPU architecture with relevant experience.
- Project experience in ASIC design area will be a plus
- Experience of algorithm competition will be a plus
- Program experience of large data visualization will be a plus
- Experience of using Python or C or Shell to write scripts will be a plus
- Experience of modern database usage will be a plus
- Experience of data analytic with Power Automate or PowerBI will be a plus.
ACADEMIC CREDENTIALS:
- Master's degree is preferred.
- New graduate is also appliable.
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Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
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