{"id":1040056,"url":"https://alion.io/job/applied-materials-physics-ai-scientist","title":"Physics AI Scientist","company":{"id":2749,"name":"Applied Materials","domain":"appliedmaterials.com","url":"https://alion.io/company/applied-materials","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":89,"open_postings":462,"ghost_share":0.004,"stale_share":0.232,"repost_share":0.009,"time_to_fill_p50_days":67,"computed_at":"2026-09-25T05:45:01Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"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":"Machine Learning","optional":false},{"name":"HPC","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-09-25T21:40:33Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Who We Are\nApplied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.\nWhat We Offer\nLocation:\nBangalore,INDYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.\nAt Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.\nRole Summary\nDevelop next-generation AI models for semiconductor engineering by combining scientific domain knowledge with modern machine learning. Build physics-aware surrogate models, foundation models, and optimization workflows that accelerate simulation and engineering design.\nKey Responsibilities\nDevelop Scientific AI models that bridge scientific computing, physics-based simulation and machine learning for physics and chemistry-based engineering problems.\nDesign and train surrogate models, operator-learning models, and foundation models for scientific simulations.\nCollaborate with domain experts to formulate AI solutions for complex engineering challenges.\nDevelop scalable data generation, training, validation and deployment workflows for Scientific AI models.\nPublish technical innovations and drive adoption of Scientific AI across engineering applications.\nPreferred Qualifications\nPh.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field.\nStrong background in scientific machine learning and numerical simulation.\nExperience with surrogate modeling, PINNs, operator learning (e.g., FNO), or foundation models.\nProficiency in Python and PyTorch.\nExperience with HPC, distributed training, large-scale scientific datasets or scalable ML workflows.\nAdditional Information\nTime Type:\nFull timeEmployee Type:\nAssignee / RegularTravel:\nYes, 10% of the TimeRelocation Eligible:\nYesApplied Materials is an Equal Opportunity Employer. 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