Stateside Spec Engineering jobs in the United States

Applied Materials

Product Line Management I, New College Grad- Bachelor's (Santa Clara, CA)

Santa Clara, CA · On-site · Intern

Discipline
Software
Industry
Semiconductor

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Two sentences, spec-sheet tone. Place, craft, constraints.

$80,000–$110,000 / year · Day shift · 10% travel · Relocation offered · Bachelor's Degree in Analytics, Engineering, Product Marketing, Product Management, or related considered

Required

  • data analytics
  • Python/SQL/Excel
  • Tableau
  • ERP/PLM tools
  • SAP or ERP/PLM
  • data modelling
  • stakeholder communication

Preferred

  • AI/ML familiarity
  • experience in semiconductor or adjacent industries
  • web application development
  • knowledge of SQL databases
  • market analysis

Benefits

  • medical
  • PTO
  • 401k

Get new Software roles in California by email.

Free. We email only when something new matches, and only after you confirm. More options.

Employer description

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:

$80,000.00 - $110,000.00

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. 

Key Responsibilities

Knowledge and experience in product life cycle analysis, product change notification, order management, planning, supply chain managementFamiliar with the parts used on semiconductor equipment, understand the basic functions of the partsStrong engineering mindset, be able to interpret the data collected by engineering teamGood understanding of AGS POA of Spares and ServiceKnowledge of SAP or any ERP or PLM toolsApply data analytics to service agreements, parts replacement, and spares to identify trends and guide strategy developmentAbility to perform data analysis and modelling using Python/SQL/Excel and Tableau consideredUnderstand AI/ML models and have experiences using the top AI tools (ChatGPT, Claude, CoPilot)Ability to exercise judgment based on the analysis of multiple sources of informationAbility to provide strategic recommendations based on statistical and data analysisDemonstratable problem solving skills and presenting effectively to a variety of stakeholdersEstablish trust-based relationships and work effectively with diverse teamsTrack and monitor competitor activity and centralize the intelligence information for business decision makingIdentify new Market opportunities, define market share penetration and retention strategies with sales and FSO teams
Qualifications

Bachelor’s Degree in Analytics, Engineering, Product Marketing, Product Management, or related consideredRelevant experience in Semiconductor or Adjacent industries highly desirableIndustry Experience in Data Analytics environment is a plusStrong problem-solving and stakeholder communication skillsExperience in web application development (frontend and backend)Desired Technical Skills:Frontend: HTML, CSS, JavaScript (React/Angular/Vue)Data Engineering & Modeling: Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)Database: SQLApplications will be reviewed on a rolling basis. Please apply by December 30, 2026. Note: This position may close early based on application volume or candidate selection. 

Additional Information

Time Type:

Full time

Employee Type:

New College Grad

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.

Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source