Job Description The Role and Impact As a Yield Development Engineer, you will play a vital role in Intel's process development lifecycle, directly influencing product quality and driving technological innovation. Your contributions will shape the next generation of semiconductor technologies by identifying root cause yield limiters and driving yield and manufacturability improvements. This position offers the opportunity to collaborate across teams and disciplines, providing impactful solutions that enhance Intel's manufacturing processes and product reliability. Join us and help shape the future of computing technology. Key Responsibilities - The candidate will be part of the assembly technology development labs in support of advanced electronic assembly manufacturing process development. This is an entry level position and compensation will be given accordingly. - Perform ToF-SIMS, XPS, mIRage, nano IR and Raman spectroscopy analysis. - Provide direct customer support, participating in safety initiatives, lab sustaining and development, process transfer, tool ownership and training on other techniques. - Assist in routine instrument maintenance. - Provide flexible surface analysis and materials analysis support when needed. - Analyze complex ToF-SIMS/Auger/XPS/IR data. - Apply fundamental problem solving to electronic packaging manufacturing issues. - Strong communication skills, organizational and/or prioritization skills. - Willingness to work both independently and successfully interface with peers, engineers, technicians and other analytical groups in a team. Environment. Qualifications
Minimum Qualifications:
- Must possess a PHD degree in Materials science, Chemistry, Chemical Engineering, Applied physics, or STEM related fields with 1+ years experience or Master degree with 4+ years working experience in operating UHV-based analytical equipment including one of these: ToF-SIMS, Auger/XPS, dynamic SIMS, mIRage, FTIR, Nano-IR, Raman, AFM, SEM/EDS etc.
- Must have the required Ph.D degree or expect the required Ph.D degree by Aug. 2026.
Preferred:
- Proficiency in statistical data analysis tools such as JMP, Python is a plus.
- Experience in semiconductor processing, packaging, and failure analysis techniques is a plus.
- Familiarity with design of experiments (DOE) methodologies and big data visualization is a plus.
- Strong problem-solving skills, with demonstrated ability to collaborate across interdisciplinary teams.
If you are excited about making a meaningful impact, driving technological advancements, and thriving in a collaborative environment, we invite you to apply for this opportunity.
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. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $127,400.00-$179,900.00
Salary range dependent on a number of factors including location and experience Working Model This role will require an on-site presence.
Job posting details (such as work model, location or time type) are subject to change.