{"id":3483374,"url":"https://alion.io/job/globalfoundries-ai-enabled-device-modeling-engineer","title":"AI enabled Device Modeling Engineer","company":{"id":3730,"name":"GlobalFoundries","domain":"gf.com","url":"https://alion.io/company/globalfoundries","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":214,"ghost_share":0,"stale_share":0.981,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-01T06:10:25Z"}},"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":["New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":69000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"TCAD","optional":false},{"name":"TensorFlow","optional":false},{"name":"Git","optional":true},{"name":"Interpretability","optional":true},{"name":"Linux","optional":true},{"name":"MLFlow","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T11:12:02Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About GlobalFoundriesGlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.\nCareer Opportunity\nThis role offers the opportunity to apply advanced AI/ML methods to semiconductor device-modeling challenges within a cross-functional technology-development environment. The engineer will work with device physicists, compact-modeling experts, characterization engineers, PDK developers, and circuit designers to create scalable, production-relevant modeling solutions.\nSummary of Role\nGlobalFoundries is seeking a Level 6 AI-Enabled Device Modeling Engineer with strong artificial intelligence, machine-learning, and scientific-computing skills. The engineer will independently develop and deploy AI-enabled methods that combine device physics, measured silicon data, compact-model simulations, and TCAD results to accelerate model extraction, improve predictive accuracy, and create scalable modeling workflows for CMOS, cryogenic, photonic, superconducting, and other emerging devices.\nEssential Responsibilities\nDevelop, optimize, and validate machine-learning methods for semiconductor device modeling, including parameter extraction, surrogate modeling, model calibration, inverse modeling, and prediction of device characteristics.\nBuild reproducible data pipelines that combine measured device data, compact-model simulations, TCAD results, and relevant process or test metadata.\nTrain, validate, and compare AI/ML models using appropriate baselines, holdout datasets, error metrics, uncertainty analysis, and physics-based constraints.\nApply methods such as neural networks, Gaussian processes, optimization, sensitivity analysis, and physics-informed machine learning to device-modeling problems.\nAutomate model fitting, feature extraction, hyperparameter optimization, regression testing, visualization, and reporting using Python-based workflows.\nWork with device, characterization, compact-modeling, PDK, EDA, and circuit-design teams to translate technical requirements into usable AI-enabled modeling solutions.\nDocument datasets, assumptions, model architecture, training methods, validation results, limitations, and recommended usage to support traceability and knowledge transfer.\nLead focused proof-of-concept demonstrations and transition successful AI/ML methods into maintainable device-modeling and design-enablement workflows with appropriate testing, documentation, and stakeholder review.\nOther Responsibilities\nPerform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.\nWork and collaborate on other projects and/or assignments as needed.\nRequired Qualifications\nEducation - Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Applied Physics, Physics, or a related field.\nExperience - Typically 3-5+ years of relevant experience in machine learning, scientific computing, semiconductor device modeling, computational physics, or a related field. Final experience requirements will be aligned with GF Level 6 scoping guidelines.\nStrong Python programming skills and experience with common scientific and machine-learning libraries such as NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or JAX.\nUnderstanding of supervised learning, regression, neural networks, model validation, overfitting, uncertainty, and quantitative performance evaluation.\nWorking knowledge of semiconductor device physics and transistor electrical behavior, with demonstrated ability to apply AI methods to scientific or engineering modeling problems.\nExperience developing reproducible workflows for structured scientific or engineering datasets, including data preparation, visualization, feature engineering, model training, validation, and performance monitoring.\nAbility to independently execute technical assignments, communicate results clearly, and collaborate across AI, device, modeling, characterization, PDK, and design teams.\nTravel - Up to 10%.\nFluency in English - written and verbal.\nPreferred Qualifications\nIndustry, research, or advanced academic experience applying AI/ML to semiconductor devices, electronic design automation, scientific machine learning, or computational physics.\nExperience with physics-informed neural networks, differentiable programming, Bayesian optimization, Gaussian processes, active learning, or uncertainty quantification.\nExposure to compact transistor models, SPICE simulation, parameter extraction, TCAD, cryogenic device behavior, photonic devices, superconducting devices, or quantum hardware.\nExperience using experiment tracking, version control, testing, or reproducibility tools such as Git, MLflow, Weights & Biases, containers, or automated workflows.\nExperience with Linux environments, high-performance computing, GPU acceleration, cloud computing, or large-scale simulation and training datasets.\nAbility to balance predictive performance with physical consistency, interpretability, robustness, and computational efficiency.\nDemonstrated technical contribution through deployed software, patents, publications, conference presentations, open-source work, or interdisciplinary engineering projects.\nProject management skills, including the ability to innovate, execute solutions that matter, and navigate ambiguity.\nStrong written and verbal communication skills and strong planning and organizational skills.\nExpected Salary Range\n$69,000.00 - $120,000.00The exact Salary will be determined based on qualifications, experience and location.\nIf you need a reasonable accommodation for any part of the employment process, please contact us by email at  let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.\nAn offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.\nGlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.\nAll policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law","description_format":"text","description_chars":7464,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Semiconductor Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-29T20:52:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 100 · green card filings: 45","filings_12m":100,"filings_prev_12m":95,"green_card_filings_12m":45,"median_offered_wage_usd":110948,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":30,"reasons":["conf:11","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":120000,"is_top_pay":false},"html_url":"https://alion.io/job/globalfoundries-ai-enabled-device-modeling-engineer","json_url":"https://alion.io/job/globalfoundries-ai-enabled-device-modeling-engineer.json","meta":{"generated_at":"2026-11-01T12:31:12Z","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":19251,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":3730},"rest":"https://alion.io/mcp/rest/get_company?id=3730"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglobalfoundries-ai-enabled-device-modeling-engineer"},{"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%2Fglobalfoundries-ai-enabled-device-modeling-engineer"},{"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%2Fglobalfoundries-ai-enabled-device-modeling-engineer"},{"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/globalfoundries-ai-enabled-device-modeling-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglobalfoundries-ai-enabled-device-modeling-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3483374}},{"tool":"search_jobs","arguments":{"company":"gf.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3483374},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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