Process Engineer: Advanced Semiconductor Processes & Data-Driven Impact

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 108,000 - 149,000; Full time

Job summary

Applied Materials is seeking a Process Engineer to design and optimize advanced semiconductor manufacturing processes for display and chip production. You will collect data, analyze performance, and work with customers to resolve issues, driving innovations across deposition, etch, and related technologies.

The role emphasizes collaboration with R&D and cross-functional teams, extensive data-driven decision making, and opportunities to contribute to new product introductions and technology

Qualifications

• Bachelor's, Master's, or PhD in Materials Science, Chemical Engineering, Chemistry, Physics, Electrical Engineering, Semiconductor Engineering, or a related field.
• Minimum 2+ years of relevant industry, research, or semiconductor process engineering experience.
• Experience in semiconductor capital equipment, process development, manufacturing, or customer-facing technical roles is preferred.

Responsibilities

• Develop, optimize, and qualify semiconductor processes including Deposition, Etch, EPI, PVD, and related technologies to meet product and customer requirements.
• Develop, transfer, and qualify processes on new tool platforms, ensuring process performance, repeatability, manufacturability, and readiness for production.
• Partner with equipment engineering teams to define hardware requirements and establish risk-based qualification plans for new product and hardware development.
• Design, execute, and analyze Design of Experiments (DOE) to understand process interactions, identify critical variables, and optimize process performance.
• Utilize statistical analysis tools such as JMP, Minitab, and other data analytics platforms to evaluate process data and drive data-driven decisions.
• Conduct process engineering research, development, characterization, and evaluation to enhance the performance of Applied Materials' semiconductor equipment and systems.
• Define process specifications, establish operating limits, and evaluate experimental results to ensure robust and repeatable process performance.
• Serve as the primary process engineering interface for new product development, providing technical guidance on process and equipment interactions.
• Collaborate with product development, hardware, software, manufacturing, and field teams to support product releases and technology transitions from R&D to high-volume manufacturing.
• Work closely with customers to understand technology roadmaps, process requirements, business challenges, and future technology inflection points.
• Support customer demonstrations, process evaluations, and technology benchmarking through planning, execution, data analysis, and reporting.
• Lead customer process escalations, conducting root-cause analysis and driving timely corrective actions and long-term solutions.
• Drive adoption of new technologies through on-site evaluations, customer demonstrations, process qualifications, and production ramp activities.
• Act as a single point of contact for process-related customer requests, coordinating cross-functional teams to ensure effective resolution and customer satisfaction.
• Collaborate with suppliers and internal stakeholders to ensure availability of required materials, components, and process resources.
• Identify opportunities for continuous improvement in process capability, yield, productivity, and equipment performance.

Skills

DOE methodologies

Statistical analysis

Data analytics

Cross-functional collaboration

Customer communication

Education

Bachelor's/Master's/PhD in Materials Science or related field

Tools

JMP

Minitab

Job description

Applied Materials is seeking a Process Engineer to design and optimize advanced semiconductor manufacturing processes for display and chip production. You will collect data, analyze performance, and work with customers to resolve issues, driving innovations across deposition, etch, and related technologies.

The role emphasizes collaboration with R&D and cross-functional teams, extensive data-driven decision making, and opportunities to contribute to new product introductions and technology