{"id":3321857,"url":"https://alion.io/job/intel-nmsi-silicon-photonics-yield-analysis-engineer","title":"NMSi Silicon Photonics Yield Analysis Engineer","company":{"id":35,"name":"Intel","domain":"intel.com","url":"https://alion.io/company/intel","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":96,"ghost_share":0.031,"stale_share":0.49,"repost_share":0.042,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Semiconductors","role_family":"Semiconductors","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rio de Janeiro, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":196000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":33},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JMP","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T00:05:27Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Details:\nJob Description:\nThe Role and Impact\nAs a Yield Analysis Engineer, you will analyze semiconductor manufacturing data to identify yield trends, investigate performance issues, and drive improvements in manufacturing processes. You will collaborate with cross-functional teams to develop data-driven solutions that improve yield, reduce defects, and enhance product quality and reliability, supporting Intel's next-generation silicon photonics technologies.\nBusiness Group\nYou will be part of Intel's manufacturing operations team, supporting the development and production of advanced semiconductor technologies. The team focuses on improving manufacturing yield, process efficiency, and product quality through data analysis, technical problem-solving, and cross-functional collaboration.\nKey Responsibilities\nAnalyze semiconductor manufacturing yield data to identify trends, anomalies, and opportunities for improvement.\nInvestigate yield issues and process deviations, collaborating with cross-functional teams to identify root causes and implement corrective actions.\nApply statistical methods and analytical tools to evaluate manufacturing performance and support data-driven decision-making.\nDevelop and implement strategies to improve yield performance, minimize defects, and optimize manufacturing processes.\nGenerate reports, analyze performance metrics, and provide actionable recommendations to improve product quality and reliability.\nSupport continuous improvement initiatives to achieve manufacturing yield targets and operational objectives.\nQualifications:\nMinimum Qualifications\nBachelor's degree in a relevant field with 4+ years of experience in semiconductor manufacturing, data analysis, or a related field; OR\nMaster's degree in a relevant field with 3+ years of experience; OR\nPhD in a relevant field with no prior professional experience required.\n2+ years of hands-on experience using data analysis or programming tools such as Python, R, MATLAB, JMP, or equivalent.\n2+ years of experience applying statistical methods and process control systems.\n2+ years of experience working with large datasets and database management systems.\nPreferred Qualifications\nStrong communication and problem-solving skills, with a proven ability to work collaboratively across teams.\nFamiliarity with semiconductor manufacturing processes and materials.\nHands-on experience in yield analysis techniques and methodologies.\nDemonstrated ability to manage multiple projects in a fast-paced, dynamic environment.\nExperience in semiconductor manufacturing and/or advanced packaging technologies.\nYour expertise can help shape the future of semiconductor technology. Join us and be part of a global team that is driving innovation and delivering impactful solutions to customers worldwide.\nJob Type:\nExperienced HireShift:\nShift 1 (United States of America)Primary Location:\nUS, New Mexico, AlbuquerqueAdditional Locations:\nPosting Statement:\nAll 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\nN/ABenefits\nWe 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.\nAnnual Salary Range for jobs which could be performed in the US: $103,730.00-198,820.00 USDThe 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\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*\nADDITIONAL 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. 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