Applied Materials Logo

Applied Materials

Senior Process Engineer

Posted An Hour Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
124K-171K Annually
Senior level
In-Office
Santa Clara, CA, USA
124K-171K Annually
Senior level
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.
The summary above was generated by AI

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:

$124,000.00 - $171,000.00

Location:

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. 

Role Responsibilities: 

  • Design, collect data, analyze, and compile reports on difficult process engineering experiments
  • Perform hardware characterization on a variety of difficult systems
  • Troubleshoot complex problems, perform Root Cause Analysis, and resolve a variety of difficult process engineering issues
  • Measure film properties and interpret data
  • Generate internal documentation for products, presentations, and technical reports
  • Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision
  • Identify, select, and partner with vendors and suppliers
  • Implement new technology, products, and analytical instrumentation
  • Serve as a resource for junior colleagues; lead project teams, as needed

Minimum Qualifications:

  • Master’s degree in a related field (Physics, EE, Material Science is preferred)
  • 4-7 years of related experience  
  • Prior Experience on plasma physics or vacuum system is preferred
  • Demonstrates conceptual and practical expertise in complex problem solving

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

HQ

Applied Materials Santa Clara, California, USA Office

3050 Bowers Avenue, Santa Clara, CA, United States, 95054

Similar Jobs

13 Days Ago
Hybrid
San Jose, CA, USA
111K-139K Annually
Senior level
111K-139K Annually
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides hands-on production support, troubleshooting defects and manufacturing equipment, training operators, and documenting work instructions. Supports advanced assembly and surface-mount processes, analyzes data using statistical methods and DOE, implements process controls, and leads continuous improvement projects. Collaborates cross-functionally to improve manufacturing efficiency, quality, throughput, factory layout, and automation effectiveness. The role requires engineering experience in manufacturing and the ability to obtain and maintain a security clearance.
Top Skills: Automation EquipmentDesign Of Experiments (Doe)Epoxy DispensersEutectic Die AttachGap WeldingPick-And-Place MachinesPwb Surface MountStatistical Process Control (Spc)Wire Bonding Machines
Yesterday
In-Office
Santa Clara, CA, USA
136K-276K Annually
Senior level
136K-276K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develops and maintains product labeling, identification, configuration, and manufacturing-readiness processes for data center products. Partners with engineering, manufacturing, suppliers, contract manufacturers, and customers to define labeling specifications, support NPI and FAI activities, ensure PLM and BOM accuracy, validate barcodes, and improve operational workflows through standardization, automation, and tooling.
Top Skills: Adobe IllustratorBarcode Verification ToolsBartenderCodesoftCoreldrawIso StandardsPdpPlmWindchill
4 Days Ago
In-Office
Hayward, CA, USA
95K-127K Annually
Senior level
95K-127K Annually
Senior level
Automotive • Manufacturing
Performs hands-on quality testing and inspection of battery materials, components, and finished cells. Maintains quality records, control charts, and recurring metrics; conducts Gauge R&R studies; documents nonconformances and supplier quality issues; drafts SOPs; and supports root-cause investigations. The role connects manufacturing observations with process risks, ensures data integrity, and contributes to continuous improvement while following laboratory, battery, and manufacturing safety protocols.
Top Skills: Dry RoomExcelGauge R&RGloveboxJmpLean Six SigmaMinitabRStatistical Process Control

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account