Job Details:

Job Description: 

Advanced Packaging Technology and Manufacturing (APTM) is looking for a Platform Yield Analyst to join a team tasked with the objective of driving yield improvement across APTM's portfolio of advanced packaging technologies. As a Yield Platform Analyst, the successful candidate will set priorities for the team, get results across boundaries, ensure an inclusive work environment, and demonstrate progress to key yield milestones in support of platform certification timelines.

Responsibilities included but not limited to the followings:

• Define goals and roadmap for yield improvement for new packaging process technology and architectures throughout the development cycle. Independently drives recommendations and influences the Yield improvement roadmap with the necessary process flow, systems and methodology required to meet goals.
• Establish relationships between critical material, tool and process modulators on yield and correlations to inline parameters.
• Provides process development direction throughout the whole lifecycle of a technology from as early as pathfinding through ramp.
• Performs statistical analysis, develops visualizations and presentations to construct accurate process development roadmaps that drive technology yield milestones.
• Extracts insights from structured and unstructured data by quickly synthesizing large volumes of data, and applying statistics, machine learning and coding techniques.
• Develops systems to transform complex experimental and manufacturing data into yield improvement actions using knowledge of product design and test features.
• Ensures manufacturability over process and product design through thorough analysis of process and spec corners and works with design to resolve yield issues before manufacturing ramp.
• Monitor and evaluate completion of tasks and projects and lead task forces on integrated problems.
• Work with both upstream, downstream and cross functional key partners to ensure successful pathfinding, development, and ramp of new technology into HVM. Some domestic and international travel may be needed. T

The candidate should also exhibit the following behavioral traits or/and skills:

• Be capable of directing cross-functional teams and working effectively across organizational boundaries.
• Tolerance of ambiguity and flexibility with respect to job roles and working hours.
• Communication and presentation skills, especially to executives.
• Analytical and problem-solving skills.

Qualifications:

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum Qualifications

Must possess a bachelor’s degree with 4+ years of relevant experience, OR Master's Degree with 3+ years of relevant experience, OR PhD Degree in Materials Science and Engineering or Mechanical Engineering or Computer Science or Information Systems or Chemical Engineering or Electrical Engineering or Chemistry or Physics or any other related discipline.

Experience listed above should be  a combination in the following:

• Applying materials, tools and process fundamentals and design process interactions to drive yield improvement projects.
• Applying advanced data systems, tools and techniques for yield improvement.
• Develop and deploy software related to Yield reporting and automated commonality analysis.

Preferred Qualifications:

• Prior experience and ability to manage, mentor and coach technical engineers.
• Detailed knowledge of substrate and/or assembly and/or fab back end processes.
• Sense of ownership and experience working with partners to drive yield improvement.
• Prior experience in integration, yield, or module engineering roles.
• Data systems and analytics, Python, machine learning techniques, yield improvement methodologies.
• Experience with JMP, JSL, SQL, Python programming.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix

Business group:

Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $133,800.00-188,890.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

 

 

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.