{"id":2986036,"url":"https://alion.io/job/intel-process-integration-yield-engineering-phd-intern","title":"Process Integration & Yield Engineering PhD Intern","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":"B","score":84,"open_postings":88,"ghost_share":0.034,"stale_share":0.523,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Semiconductors","role_family":"Semiconductors","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hillsboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Design of Experiments","optional":true},{"name":"JMP","optional":true},{"name":"Machine Learning","optional":true},{"name":"MATLAB","optional":true},{"name":"Python","optional":true},{"name":"Statistical Process Control","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-24T03:51:18Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Job Details:\nJob Description:\nThe Role and Impact\nAs a Process Integration and Yield Engineering PhD Intern, you will contribute to the development and optimization of advanced semiconductor manufacturing technologies. In this role, you will work closely with engineers and researchers to analyze process performance, investigate yield-impacting defects, and develop solutions that improve manufacturing efficiency and product quality.\nThis internship offers a unique opportunity to apply your technical expertise in semiconductor processing, materials characterization, and data analytics to real-world manufacturing challenges. You will gain hands-on experience in a high-volume production environment while contributing to the development of next-generation semiconductor technologies.\nBusiness Group\nIntel Foundry is at the forefront of semiconductor manufacturing, driving innovation through advanced process technologies and world-class engineering excellence. Our teams develop and optimize manufacturing solutions that enable industry-leading products while maintaining the highest standards of quality, reliability, and operational efficiency.\nKey Responsibilities\nAnalyze yield, defect, and process data to identify trends, root causes, and improvement opportunities. \nSupport process integration activities across multiple semiconductor fabrication operations. \nDesign and execute experiments to evaluate process performance and optimize manufacturing outcomes. \nPartner with cross-functional engineering teams to troubleshoot technical issues and implement corrective actions. \nUtilize microscopy and characterization techniques to investigate defects and process-related challenges. \nApply statistical analysis and data-driven methodologies to enhance process capability and manufacturing efficiency. \nContribute to yield improvement initiatives through risk assessments, problem-solving, and innovative engineering solutions. \nDevelop technical reports and present findings to engineering stakeholders. \nParticipate in continuous improvement projects focused on advancing manufacturing quality, productivity, and reliability. \nQualifications:\nMinimum Qualifications\nCurrently pursuing a PhD in Materials Science, Electrical Engineering, Chemical Engineering, Chemistry, Mechanical Engineering, Physics, Computer Science or a related technical field. \nStrong academic performance with a cumulative GPA of 3.0 or higher required \n3+ months of educational, research, laboratory, internship, or industry experience\nPreferred Qualifications\nHands-on experience with semiconductor fabrication, process integration, or yield engineering. \nProficiency with data analysis and visualization tools such as JMP, Python, MATLAB, or equivalent. \nKnowledge of Statistical Process Control (SPC), Design of Experiments (DOE), or machine learning techniques. \nKnowledge of semiconductor device physics and manufacturing fundamentals. \nExperience with microscopy or materials characterization techniques. \nExperience working in cleanroom, laboratory, or advanced manufacturing environments. \nStrong communication skills and ability to collaborate effectively across multidisciplinary teams. \nStrong analytical, problem-solving, and data interpretation skills. \nJoin Intel and help drive the future of semiconductor manufacturing through data-driven innovation, process optimization, and engineering excellence.\nJob Type:\nStudent / InternShift:\nShift 1 (United States of America)Primary Location:\nUS, Oregon, HillsboroAdditional 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: $120,898.00-120,902.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role 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. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.","description_format":"text","description_chars":5291,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Semiconductor Manufacturing","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-21T08:25:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2,014 · green card filings: 487","filings_12m":2014,"filings_prev_12m":3001,"green_card_filings_12m":487,"median_offered_wage_usd":134579,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.617,"p_room":0.9,"age_days":11,"expected_fill_days":30,"reasons":["conf:25","stale_co","velocity","win:mid","comp:junior,brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/intel-process-integration-yield-engineering-phd-intern","json_url":"https://alion.io/job/intel-process-integration-yield-engineering-phd-intern.json","meta":{"generated_at":"2026-10-25T20:22:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":28919,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":35},"rest":"https://alion.io/mcp/rest/get_company?id=35"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintel-process-integration-yield-engineering-phd-intern"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fintel-process-integration-yield-engineering-phd-intern"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fintel-process-integration-yield-engineering-phd-intern"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/intel-process-integration-yield-engineering-phd-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintel-process-integration-yield-engineering-phd-intern"}]}