Jobs at Applied Materials

Lead and manage an optical engineering team to develop high-performance optical systems for semiconductor equipment. Own complex system projects from specification through design, supplier collaboration, integration, qualification, troubleshooting, and feasibility studies. Drive R&D, vendor strategy, customer technical engagement, mentoring, alignment strategies, error budgets, and system-level requirements and risk management.

Support FP&A and Gross Margin Leadership by performing cost and gross margin analysis, financial modeling, forecasting, and monthly/quarterly reporting. Build cost-tracking frameworks, dashboards, and executive presentations; partner with Operations and Engineering to integrate cost improvement tracks into forecasts and the annual operating plan.

Lead global HR technology strategy, build and manage an HRIS team, drive Workday and HR platform implementations, prioritize and deliver HR tech and continuous improvement projects, apply emerging technologies (including AI), and partner with HR, IT, and Data & Analytics to ensure scalable, secure HR systems and strong employee experience.

Serves as the primary liaison between sales and business units for assigned customers and regions. Executes account strategies, manages product specifications and RFQs, supports pricing and order closure, coordinates customer demonstrations and inspections, presents technical information, and tracks financial targets, forecasts, and commitments. Program-manages account initiatives and evaluation milestones while contributing customer roadmap insights, competitive intelligence, and product positioning recommendations.

Designs and analyzes process engineering experiments, characterizes hardware, measures film properties, troubleshoots complex systems, performs root cause analysis, and resolves customer issues. The role also documents technical findings, implements new technologies and instrumentation, collaborates with vendors, and leads projects while supporting junior colleagues.

Develops and optimizes thin-film deposition and plasma processes for advanced semiconductor interconnects. Responsibilities include designing experiments, running wafer studies, performing metrology and data analysis, characterizing films, troubleshooting chambers, supporting hardware qualification, conducting root-cause analysis, and collaborating with engineering, R&D, vendors, and customers.

Leads product marketing strategy for semiconductor equipment, including market planning, product positioning, competitive analysis, pricing, investment recommendations, product launches, and market share growth. Manages marketing teams and field support while partnering with Engineering, Manufacturing, and Sales to address customer needs, develop products, and optimize account opportunities.

Leads product quality and reliability engineering for semiconductor imaging and process-control equipment. Evaluates materials, designs, suppliers, and manufacturing processes; performs reliability analysis, failure analysis, FMECA, and validation planning; develops quality controls, test plans, reliability models, and growth assessments. Drives 8D corrective actions, engineering change reviews, supplier process qualification, and cross-functional solutions. May mentor teams and travel to supplier or customer sites internationally.

Develops and validates optical inspection applications for semiconductor and advanced packaging customers. Responsibilities include creating test plans and inspection recipes, analyzing defects and experimental results, supporting new product introduction, troubleshooting onsite, training customers and field teams, and collaborating with engineering, software, algorithms, product, and marketing teams. Requires at least 3 years of wafer inspection or advanced packaging experience and international travel of approximately 30%.

Develops service procedures, Best Known Methods, technical manuals, troubleshooting guides, and training for semiconductor equipment. Supports chamber build and testing, failure analysis, CAPA, reliability improvements, customer engineering notices, field issue resolution, and parts stocking. Partners with engineering, manufacturing, quality, reliability, and global training teams to prepare products for shipment and customer support. The role is based in Santa Clara, California, with approximately 20% travel.

Leads product vision, strategy, and roadmap for data science-enabled products and AI solutions. Partners with data scientists, engineers, designers, and business teams to define requirements, develop machine learning models, deploy production solutions, and monitor performance. Builds scalable Databricks and Hadoop data pipelines, Tableau dashboards, forecasting capabilities, anomaly detection, and SPC alerting. Uses SQL, Python, and R to analyze operational data, predict wafer defectivity and removal rates, improve supply-chain forecasting, and guide experimentation and investment decisions.

Manages project and program objectives, milestones, resources, costs, documentation, compliance, and timely completion. Coordinates across teams to maximize productivity and ensure adherence to product and process requirements. The role may involve cleanroom work, extended standing, physical maneuvering, noise exposure, use of hand and power tools, and wearing personal protective equipment.

Develop and implement computer vision and machine learning algorithms for semiconductor defect detection, classification, metrology, and image analysis. Prototype solutions, evaluate feasibility, collaborate with software and systems teams to productize algorithms, and optimize computational performance and hardware requirements. The role requires semiconductor industry experience, strong computer vision and deep learning expertise, and proficiency in C/C++ and Python.

Leads opto-mechanical design for complex optical subsystems, including component drawings, sub-micron alignment, thermal stability, mechanical analysis, integration, calibration, testing, and design-for-manufacturability. Acts as a technical lead across cross-functional teams, coordinates suppliers and manufacturing, resolves complex mechanical issues, and drives product specifications and lifecycle activities.

Develop and productize classical computer vision, machine learning, and deep learning algorithms for semiconductor defect detection, classification, metrology, and image analysis. Responsibilities include literature research, feasibility studies, prototyping, validation, benchmarking, production-quality coding, software integration, and compute optimization. The role collaborates with infrastructure, software, systems, and applications teams to deliver solutions for semiconductor process-control tools.

Owns SPG/SSG enterprise revenue management, including forecast consolidation, target setting, commit-cycle governance, revenue reporting, risk monitoring, and gap-closure actions. The role aligns business units, finance, sales, and other stakeholders to ensure accurate forecasts and achievement of committed revenue targets. Reports to the SPG Business Management Head and requires approximately 10% travel.

Design, develop, and maintain scalable software for large-scale data processing and distributed applications. Build microservices, APIs, data pipelines, and visualization solutions across Windows and Linux. Optimize performance, reliability, and scalability; troubleshoot complex application, database, networking, and infrastructure issues. Participate in architecture and code reviews, collaborate with global engineering teams, and provide technical mentorship.

Designs and modifies electrical and electronic assemblies, layouts, schematics, drawings, and specifications. Performs engineering analysis and testing, prepares product release documentation, coordinates component procurement and assembly, troubleshoots electrical issues, develops product specifications, and implements electrical solutions under general supervision.

Leads semiconductor process engineering across complex hardware systems and product lines. Manages engineering teams, customer problem resolution, technology demonstrations, experimental testing, process specifications, and strategic collaboration. Evaluates equipment capabilities, identifies development opportunities, escalates critical technology issues, and drives market share improvement while ensuring compliance with company standards of business conduct.

Develops and improves algorithmic and MATLAB features through research, design, implementation, testing, integration, and deployment. Responsibilities include algorithmic analysis, data gathering, literature review, concept evaluation, work planning, technical documentation, system definition, and collaboration with internal and external customers. The role provides informal guidance to new team members and operates within project budgets, schedules, and established technical guidelines.