Senior Product Development Engineer - Yield & Data Analytics
Singapore, Singapore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingRun data mining and statistical analysis on wafer sort and final test parametric data
Identify and drive parametric yield improvements to meet yield targets
Feed binning, yield and parametric results back to tools development engineers
Automate analytical tasks with scripting languages and AI
Define recipes for high-volume engineering sample and production supply
From the employer’s posting
Perform data mining and statistical data analysis on wafer sort and final test parametric to support initial product assessment
Identify and drive parametric yield improvement to meet yield target
Work closely with Tools Development engineers to feedback binning, yield and parametric results to enhance various Tools’ capabilities, functions and productivity
Develop methodologies to automate analytical tasks using scripting languages and AI
Defines recipes for high volume Engineering Samples and Production supply
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's in Electrical Engineering, Computer Engineering or comparable
- Excellent problem solving and failure debug skills
- Strong analytical and problem-solving abilities
- Excellent communication and teamwork across sites and time zones
Preferred experience
- Hands-on knowledge on JMP statistical analysis tools and scripting languages such as Perl and Python is a plus
- Bachelor’s or Master’s Electrical Engineering, Computer Engineering, or comparable disciplines
- Experience in manufacturing process is a plus
Qualification wording
Bachelor’s or Master’s Electrical Engineering, Computer Engineering, or comparable disciplines
Excellent problem solving and failure debug skills are required
You possess strong analytical and problem-solving abilities
You are a team player with excellent communication skills and experience collaborating with engineers across different sites and time zones
Hands-on knowledge on JMP statistical analysis tools and scripting languages such as Perl and Python is a plus
Experience in manufacturing process is a plus
Education & alternatives
ACADEMIC CREDENTIALS: - Bachelor’s or Master’s Electrical Engineering, Computer Engineering, or comparable disciplines LOCATION:
Tools in this posting
- Python
Source — Tool mentions in context
- Basic understanding of product test methodology and implementation is a plus - Hands-on knowledge on JMP statistical analysis tools and scripting languages such as Perl and Python is a plus - Experience in manufacturing process is a plus
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 14, 2026 · 45 days ago
- Recorded sightings
- 262
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on global-external-amd.icims.com. The employer’s form will show what is required.
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Job description
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
THE ROLE:
Evaluate and assist in the development of AMD AECG product using internal product analysis tools through extensive data mining and data analytics, to meet yield target. Responsibilities will also include testing and debugging of these tools as they go through revision enhancements. Work extensively within Product Development Engineering to understand their requirements to help develop tool functionalities that automate and enhance the quality of data analysis. Involve in solving Engineering Samples and early Production shipment issues.
THE PERSON:
You have a passion for next-generation FPGA and ASIC product development during NPI stage. You are a team player with excellent communication skills and experience collaborating with engineers across different sites and time zones. You possess strong analytical and problem-solving abilities, and you're eager to learn and take on challenges.
KEY RESPONSIBILITIES:
- Perform data mining and statistical data analysis on wafer sort and final test parametric to support initial product assessment
- Identify and drive parametric yield improvement to meet yield target
- Work closely with Tools Development engineers to feedback binning, yield and parametric results to enhance various Tools’ capabilities, functions and productivity.
- Develop methodologies to automate analytical tasks using scripting languages and AI
- Defines recipes for high volume Engineering Samples and Production supply.
PREFERRED EXPERIENCE:
- Good analytical, communication, teamwork and troubleshooting skills
- Excellent problem solving and failure debug skills are required
- Basic understanding of product test methodology and implementation is a plus
- Hands-on knowledge on JMP statistical analysis tools and scripting languages such as Perl and Python is a plus
- Experience in manufacturing process is a plus
ACADEMIC CREDENTIALS:
- Bachelor’s or Master’s Electrical Engineering, Computer Engineering, or comparable disciplines
LOCATION:
Singapore
#LI-MD1
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.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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- Location & working pattern
Singapore, Singapore
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