{"id":173148,"url":"https://alion.io/job/applied-materials-technical-lead-algorithm-developer","title":"Technical Lead – Algorithm Developer","company":{"id":3903,"name":"Applied Materials","domain":"appliedmaterials.com","url":"https://alion.io/company/amat","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":327,"ghost_share":0.003,"stale_share":0.413,"repost_share":0.003,"time_to_fill_p50_days":52,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","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":{"min_usd":29000,"max_usd":67000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":57},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Java","optional":false},{"name":"MATLAB","optional":false},{"name":"OpenCL","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"scikit-image","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-05-20T00:00:00Z","employer_posted_date":"2026-05-20","last_verified_at":"2026-10-17T22:55:37Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":150},"description":"Who We Are\nApplied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.\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.\nTechnical Lead - Algorithm Developer\nLocation : ITPL, Bangalore\nWhat's In It for You?\nWork with the best: Join a team of algorithm experts and researchers who are passionate about solving complex challenges in semiconductor inspection.\n\nInnovate at scale: Contribute to the development of cutting-edge detection algorithms that power the next generation of optical wafer inspection tools\n\nEnd-to-end impact: Be involved in the full lifecycle-from concept and feasibility to implementation and integration-of algorithms that directly influence product performance\n\nShape the future: Your work will help enable the production of advanced microchips, driving innovation across industries from AI to consumer electronics\n\nOwn your work: Drive projects independently from problem definition to production deployment, with visibility across the organization.\n\nOur Team\nWe are an algorithm research and development group composed of highly skilled developers who thrive on pushing technological boundaries. We focus on designing and implementing advanced detection, classification, and calibration algorithms for optical inspection systems used in semiconductor manufacturing. With a strong emphasis on innovation, collaboration, and technical excellence, we turn complex challenges into impactful solutions that shape the future of chipmaking.\n What You'll Do\nDrive end-to-end algorithm development projects independently, from problem statement refinement to production deployment\n\nDevelop and optimize image processing algorithms for defect detection, pattern recognition, anomaly detection, classification, and image registration on optical wafer inspection data\n\nDesign and implement solutions that effectively combine classical mathematical algorithms with deep learning approaches to solve complex inspection challenges\n\nWork with large-scale semiconductor inspection datasets, including building data pipelines and curating domain-specific data for algorithm development\n\nCollaborate with cross-functional stakeholders including Field, Marketing, Product, Applications, Software, and Systems teams to gather requirements and integrate algorithmic solutions\n\nPerform concept and feasibility studies, algorithm validation, and benchmarking on large datasets to demonstrate effective solution through data-driven approaches\n\nWrite optimized, production-quality code and work with software teams to integrate algorithms into the inspection tool\n\nWork with chip design data (GDSII, OASIS) and understand system-level interactions involving optics and physics\n\nPerform system calibrations and address image processing challenges related to optical systems\n\nTravel to customer sites for solution demonstrations and issue resolution\n\nPresent technical solutions to internal stakeholders and customers\n\n What You Should Have\nMaster's degree or Ph.D. in Computer Science, Electrical Engineering, Image/Signal Processing, Computer Vision, or related field from a premier engineering institute\n\n7-15 years of experience in algorithm development for image processing and computer vision\n\nStrong mathematical foundation with expertise in applied mathematics for algorithm development\n\n Strong background in classical computer vision and image processing (filtering, segmentation, feature extraction, pattern recognition, anomaly detection, image registration)\n\n Experience with deep learning approaches (CNNs, object detection, semantic segmentation) and frameworks such as PyTorch and TensorFlow\n\nProven track record of combining classical and deep learning methods to deliver end-to-end solutions\n\nProficient in Python programming with ability to write optimized, production-quality code\n\nExperience with image processing libraries such as OpenCV, scikit-image\n\nExperience working with domain-specific raw data and building data pipelines\n\nStrong experience in algorithm validation, benchmarking, and concept-feasibility methodologies\n\nUnderstanding of optical systems and physics fundamentals as they relate to image acquisition and processing\n\nAbility to work independently and drive projects from problem definition to production deployment\n\nExcellent analytical, problem-solving, and communication skills\n\nStrong stakeholder management skills with ability to influence and collaborate across functions\n\nWillingness to travel to customer sites (~10%)\n\n Experience in semiconductor optical wafer inspection or industrial inspection domain\n\nExperience with chip design data formats (GDSII, OASIS)\n\nProficiency in C/C++ or Java\n\nKnowledge of GPU programming using CUDA or OpenCL\n\nExperience with MATLAB\n\nExperience writing production code and integrating algorithms into larger systems\n\nCustomer-facing experience including technical presentations and demonstrations\n\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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