Computational Plasma Physicist- New College Graduate

Posted:
10/17/2024, 4:55:02 AM

Location(s):
California, United States

Experience Level(s):
Mid Level

Field(s):
AI & Machine Learning ⋅ Software Engineering

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale helps our customers – who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more – transform their ideas into reality. Our innovations Make Possible® a Better Future.

Inside our company, we apply the idea of make possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow.

TEAM OVERVIEW:

The Plasma Products Modeling Group at Applied Materials provides plasma, electromagnetic (EM), feature-level, and related modeling and simulation of semiconductor processing equipment.

KEY RESPONSIBILITIES:

Perform plasma, electromagnetic (EM), and feature-level modeling of plasma chambers to provide better understanding of product behavior during concept & feasibility, design and development of semiconductor processing equipment. Develop, modify and test internal plasma, EM, feature-level, and related codes as needed. Perform engineering analysis. Recommend design modifications to improve Plasma/EM/feature-level behavior to address technical/business needs. Apply internal and/or external codes to address plasma/EM/feature-level related problems as needed. Present modeling results and recommendations to product development team. Provide technical expertise in plasma physics, EM, and feature-level phenomenon as valuable resource.

TECHNICAL SKILLS:

  • Demonstrated experience with plasma physics, EM, and/or feature-level simulations
  • Strong computational skills with preference for the following
    • Proficiency in Fortran, C++, and Python
    • Experience with parallelization (e.g., MPI, GPU)
    • Familiarity with High Performance Computing (HPC) environments
  • Comfort with developing/extending custom physics and analysis codes in a team environment

REQUIREMENTS/EDUCATION:

  • PhD
  • Electrical/Chemical/Mechanical Engineering or Physics
  • GPA: 3.0 or above
  • 0 – 3 years of relevant experience

Qualifications

Education:

Doctorate Degree

Skills:

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

New College Grad

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

U.S. Salary Range:

$138,000.00 - $190,000.00

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 committed to diversity in the workplace. All 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. 

Applied Materials

Website: https://appliedmaterials.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1967

IPO Status: Public

Last Funding Type: Post-IPO Equity

Industries: Electronics ⋅ Manufacturing ⋅ Semiconductor ⋅ Software