{"id":2284346,"url":"https://alion.io/job/intel-corporation-ai-driven-physical-design-engineering-phd-intern","title":"AI-Driven Physical Design 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":100,"ghost_share":0.02,"stale_share":0.58,"repost_share":0.04,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Early Careers","role_family":"Early Careers","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":["Santa Clara, United States","Fort Collins, United States","Hillsboro, United States","Austin, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":97000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":346},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GNN","optional":false},{"name":"Machine Learning","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Matplotlib","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-18T16:21:57Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Job Details:\nJob Description:\nThe Role and Impact: \nIntel is seeking motivated individuals to join its dynamic design engineering team as an AI-Driven Physical Design Engineering PhD Intern. This role offers a unique opportunity to leverage artificial intelligence and machine learning techniques to revolutionize the physical implementation of cutting-edge silicon designs. You will focus on developing AI-powered workflows, building intelligent data analysis capabilities, and designing adaptive systems that enhance execution efficiency and optimize implementation strategies through data-driven decision making.\nBusiness Group: \nThe Data Center Group (DCG) is at the forefront of developing high-performance computing solutions that power the world's data-centric applications. This team is dedicated to designing innovative silicon technologies that support Intel's mission to lead in processing, storage, and networking solutions for data centers. Join a group committed to shaping the future of technology by solving complex challenges and driving performance enhancements. \nKey Responsibilities: \nResearch and implement AI/ML techniques to identify new opportunities for improving physical design processes and methodologies. \nDevelop AI-enhanced workflows for high-performance silicon implementation that reduce manual effort and improve design quality.\nBuild ML-powered data analysis and summarization pipelines to enable faster, more accurate design decision-making.\nDesign and implement Graph Neural Network (GNN) based systems to support dynamic, intelligent decision-making in design execution.\nDevelop intelligent automation frameworks using Python, and ML libraries such as TensorFlow or PyTorch, alongside traditional scripting in TCL and Perl.\nCollaborate with cross-functional AI research and design engineering teams to align AI-driven strategies with broader project objectives.\nEvaluate and benchmark AI-driven methodologies against traditional approaches to demonstrate measurable improvements in PPA (Power, Performance, Area).\nQualifications:\nMinimum Qualifications: \nEnrolled in a PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field. \nProficiency in industry-standard tools for physical design, including synthesis, place and route, and timing analysis software. \nFamiliarity with scripting languages like Python or TCL for flow automation and debugging. \nUnderstanding of digital design concepts and methodologies, including RTL design and verification. \n Preferred Qualifications: \nStrong problem-solving skills with a creative and innovative mindset.\nAbility to work effectively in a collaborative, team-oriented environment.\nExceptional organizational and communication skills to drive alignment across diverse teams.\nUnderstanding of Graph Neural Networks (GNNs) or graph-based algorithms\nExperience with data analysis tools (Pandas, NumPy, Matplotlib)\nKnowledge of reinforcement learning concepts for design optimization\nStrong Python programming skills with ML application experience\nBackground in EDA tools and physical design fundamentals\nApply now to be part of Intel's journey to create groundbreaking technologies that transform industries and improve lives.\nJob Type:\nStudent / InternShift:\nShift 1 (United States of America)Primary Location:\nUS, California, Santa ClaraAdditional Locations:\nUS, Colorado, Fort Collins, US, Massachusetts, Beaver Brook, US, Oregon, Hillsboro, US, Texas, AustinPosting 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: $141,998.00-142,002.00 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.The application window for this job posting is expected to end by 02/09/2027*\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":5311,"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":"2026-10-11T13:05:21Z"}],"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":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.623,"p_room":1,"age_days":8,"expected_fill_days":27,"reasons":["conf:34","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/intel-corporation-ai-driven-physical-design-engineering-phd-intern","json_url":"https://alion.io/job/intel-corporation-ai-driven-physical-design-engineering-phd-intern.json","meta":{"generated_at":"2026-10-19T03:24:52Z","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":1942,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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-corporation-ai-driven-physical-design-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-corporation-ai-driven-physical-design-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-corporation-ai-driven-physical-design-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-corporation-ai-driven-physical-design-engineering-phd-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintel-corporation-ai-driven-physical-design-engineering-phd-intern"}]}