Advanced Commercialization Engineer V
Applied Materials
- Location
- Santa ClaraCA
- Work model
- On-Site
- Level
- Staff
- Salary
- $140k – $192.5k/yr
- H-1B history
- 125 approvals (FY2023)
- Posted
- Aug 27, 2026
About this role
Who We Are
Applied 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.
What We Offer
Salary: $140,000.00 - $192,500.00 Location: Austin,TX, Santa Clara,CA You’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. At 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 . Organization: Advanced Commercialization Engineering (ACE), within New Product Commercialization (NPC) General Profile The Advanced Commercialization Engineer V for the New Product Commercial team (NPC) is recognized as a technical authority within the organization driving early commercialization of first‑in‑world semiconductor equipment by shaping architecture, manufacturability, cost intent, and supply readiness before design lock. Anticipates complex technical, commercial, and organizational challenges and drives system‑level solutions with broad business impact. Operates with significant autonomy across one or more strategic programs or platforms and shapes architecture, execution models, and supplier co‑development approaches that materially influence cost, scalability, and time‑to‑market. Provides enterprise-level technical program leadership and is accountable for influencing outcomes that materially impact cost structure, scalability, and time-to-market.
Education
Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or related engineering discipline. Advanced knowledge of manufacturing process engineering, process economics, or systems engineering is a differentiating asset at this level.
Experience
Typically 10–15+ years of progressive engineering experience in product development, DFx, commercialization, supplier engineering, or complex technical program leadership.
Key Responsibilities
Leads front‑end commercialization strategy for complex or multiple new product programs, influencing architecture, platform decisions, and supplier engagement models. Leads enterprise-level DFx execution (DfM, DfA, DfC, DfS, DfR, ITO, transportability), establishing standards and ensuring consistent application across programs. Establishes early co‑development models with strategic suppliers and Materials Program Management, ensuring supplier capability, material strategy, and design intent are jointly optimized during concept and architecture phases. Acts as senior technical authority and escalation point for complex mechanical and electrical design decisions affecting manufacturability, yield (producibility), serviceability, and cost. Defines and drives technical execution frameworks and operating models that translate early design intent into scalable, executable commercialization plans. Establishes and governs the approach for progressing commercialization and virtual validation when designs are incomplete, ensuring early decisions preserve architectural intent while enabling forward manufacturing and supplier strategies. Establishes the ACE operating model for MLO/Virtual Analysis execution under incomplete design maturity, including