{"id":3122768,"url":"https://alion.io/job/lam-research-summer-2027-process-simulation-engineering-intern-msphd","title":"Summer 2027 - Process Simulation Engineering Intern - MS/PhD","company":{"id":58649,"name":"Lam Research","domain":"lamresearch.com","url":"https://alion.io/company/lam-research","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":56,"open_postings":638,"ghost_share":0.439,"stale_share":0.056,"repost_share":0.718,"time_to_fill_p50_days":71,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fremont, 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":408},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Design of Experiments","optional":false},{"name":"JAX","optional":false},{"name":"Plasma Etch","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-09T21:53:30Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-27T01:51:38Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"The group you’ll be a part of\nThe Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.\nThe impact you’ll make\nAs a Process Simulation Engineer Intern, you’ll help build a virtual twin of plasma etch processes. You’ll develop physics-based models of how plasma etching works and fast machine-learning surrogate versions of those models, together connecting tool settings to predicted feature profiles. Your work will directly support data-driven process development for Lam’s etch products.\nWhat you’ll do\nBuild and refine models of how plasma etches a surface: ion and neutral species interactions with the wafer, sticking and reaction probabilities, redeposition, and ion energy and angle effects.\nCalibrate model parameters against measured profiles (CD vs. depth from SEM/TEM images).\nDesign simulation experiments (parameter sweeps, design of experiments) to generate training data.\nBuild and validate fast surrogate models of the slower physics simulations, including checks on accuracy and uncertainty.\nUse surrogates to explore which settings matter most and to optimize process conditions.\nWrite Python tools to automate simulation runs, data processing, and plotting.\nDocument the workflow and present results at the end of the internship.\nWho we’re looking for\nCurrently pursuing an MS or PhD in chemical engineering, physics, materials science, chemistry, or a related field.\nStrong Python skills, including hands-on experience building and training models in PyTorch (or a similar framework such as JAX or TensorFlow).\nBackground in reaction kinetics, transport phenomena, or surface/plasma science.\nHands-on experience building machine-learning or regression models.\nStrong analytical and communication skills, and the ability to work effectively in a team.\nNote this is an onsite-flex position (3+ day in the office).\nPreferred qualifications\nCoursework or research in plasma physics or plasma-surface interactions.\nExperience with surrogate modeling methods: Gaussian processes, neural networks, polynomial chaos, or reduced-order models.\nExperience with GPyTorch/BoTorch, physics-informed neural networks, or uncertainty quantification.\nExperience with design of experiments, sensitivity analysis, Bayesian calibration, or optimization.\nExperience with physics-based simulation tools (finite element, Monte Carlo, or feature-scale/profile simulators).\nFamiliarity with semiconductor etch processes or SEM/TEM image analysis.\nOur commitment\nWe believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.\nLam Research (\"Lam\" or the \"Company\") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.\nLam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.\nSalary\nCA San Francisco Bay Area Salary Range for this position: $29.75 - $48.25.\nThe above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.\nOur Perks and Benefits\nAt Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.","description_format":"text","description_chars":5099,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Semiconductor Equipment"],"lifecycle":[{"event":"open","at":"2026-10-23T01:12:02Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 233 · green card filings: 85","filings_12m":233,"filings_prev_12m":267,"green_card_filings_12m":85,"median_offered_wage_usd":137500,"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":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":16,"expected_fill_days":71,"reasons":["conf:3","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/lam-research-summer-2027-process-simulation-engineering-intern-msphd","json_url":"https://alion.io/job/lam-research-summer-2027-process-simulation-engineering-intern-msphd.json","meta":{"generated_at":"2026-10-27T02:10:56Z","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":1316,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":58649},"rest":"https://alion.io/mcp/rest/get_company?id=58649"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flam-research-summer-2027-process-simulation-engineering-intern-msphd"},{"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%2Flam-research-summer-2027-process-simulation-engineering-intern-msphd"},{"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%2Flam-research-summer-2027-process-simulation-engineering-intern-msphd"},{"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/lam-research-summer-2027-process-simulation-engineering-intern-msphd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flam-research-summer-2027-process-simulation-engineering-intern-msphd"}]}