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For Companies At a Glance
- Tasks: Support AI and graphics product development while optimising manufacturing costs.
- Company: Join a leading tech company focused on innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make an impact in cutting-edge technology and drive product success.
- Qualifications: 7+ years in process technology, strong data analysis skills, and relevant degree.
- Other info: Dynamic team environment with opportunities to work on advanced technologies.
The predicted salary is between 36000 - 60000 £ per year.
You will be supporting the development and launch of high-quality AI, Graphics, CPU, APU, and custom design products in the Product Yield Engineering team. You will optimize manufacturing costs and ensure timely market delivery. You will be involved in cross‐functional collaboration with engineering, design, foundry, and data teams to resolve complex challenges, accelerate product ramp‐up, and drive ongoing yield improvements.
KEY RESPONSIBILITIES
- Data analysis and yield engineering, focusing on post‐testing data, presentation, and understanding fabrication/testing processes
- Analyzing data across various products
- Manage product wafer costs, including yield and test content, to meet quality and yield targets
- Analyze yield metrics to forecast supply and product performance
- Implement best practices for test and characterization
- Use diagnostics and failure analysis to reduce defects in foundry environments
- Collaborate with internal and external foundry teams to identify and implement process improvements
- Engage with engineering, product teams and business units to define and achieve program requirements for defectivity, power, performance, reliability, and quality
PREFERRED EXPERIENCE
- Minimum 7 years of experience in process technology or product development, preferably with leading‐edge foundries, assembly, and test operations.
- Direct experience in JMP or equivalent data analysis tools.
- Database querying and SQL.
- An advanced degree in a related field may reduce the minimum experience requirement.
- Strong AI‐forward data science skills with experience in big data models, databases, and machine learning.
- Strong scripting capability including using AI to extract and automate complex data analysis.
- Understanding of functional and design‐for‐test methodologies, structures, and practices.
- Technical expertise in the productization of new and advanced technologies.
- Knowledge of leading edge (FinFET, GAA, etc.) semiconductor device physics.
- Semiconductor manufacturing experience.
- Ability to work effectively in geographically distributed and diverse teams.
ACADEMIC CREDENTIALS
- Bachelor's Degree in Electrical Engineering, Computer Engineering, or Computer Science, or a related degree in Math, Sciences, or Statistics.
Staff Yield Engineer – Data Analytics in London employer: ADVANCED MICRO DEVICES (SINGAPORE) PTE LTD
Contact Detail:
ADVANCED MICRO DEVICES (SINGAPORE) PTE LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Yield Engineer – Data Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis and yield engineering expertise. This is a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common questions related to data analytics and yield engineering to show you're ready to tackle real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Staff Yield Engineer – Data Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Yield Engineer role. Highlight your experience in data analysis and yield engineering, especially if you've worked with AI or semiconductor technologies. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've optimised manufacturing costs or improved yield metrics. Use numbers and results to back up your claims. This helps us understand the impact you've made in previous roles.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how you can contribute to our team. Be sure to mention any cross-functional collaboration experiences you've had, as teamwork is key in our environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining StudySmarter!
How to prepare for a job interview at ADVANCED MICRO DEVICES (SINGAPORE) PTE LTD
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis and yield engineering concepts. Brush up on your experience with JMP or similar tools, and be ready to discuss how you've used data to drive improvements in past roles.
✨Showcase Your Collaboration Skills
Since the role involves cross-functional collaboration, prepare examples of how you've worked with engineering, design, and data teams. Highlight specific projects where teamwork led to successful outcomes.
✨Understand the Manufacturing Process
Familiarise yourself with fabrication and testing processes relevant to the semiconductor industry. Be prepared to discuss how you’ve optimised manufacturing costs and improved yield metrics in previous positions.
✨Prepare for Technical Questions
Expect technical questions related to semiconductor device physics and advanced technologies. Brush up on your knowledge of FinFET and GAA technologies, and be ready to explain complex concepts in a clear and concise manner.
