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Computational Physicist III (Plasma Modeling/AI), College Grad-Doctorate - Santa Clara, CA

Applied Materials

Computational Physicist III (Plasma Modeling/AI), College Grad-Doctorate - Santa Clara, CA

Applied Materials

Santa Clara, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$138,000 - $190,000

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

Machine learning

Statistical analysis

Design of experiments

C/C++

MATLAB

Python

Communication

Applied Materials' is looking to recruit an outstanding engineer to support its computational modeling group. In this role, you will use state-of-the-art simulation tools to simulate the complex multi-physics environment in Applied Materials' products and work closely with engineers across multiple business units to develop new solutions to difficult problems. You will work closely with design and process engineers to enhance existing products as well as play a key role in the development of next-generation chambers and processes.
Required qualifications:
-PhD in Computer/Mechanical/Aerospace/Chemical Engineering or related field
-Hands-on experience applying machine learning, statistical analysis, and design-of-experiments techniques to simulation and modeling workflows
-Comfortable working with large-scale datasets and extracting actionable insights
-Proficient in one or more programming languages (e.g., C/C++, MATLAB/Python/etc.)
-Strong communication skills, both written and verbal

Experience with one or more of the following:

  • commercial and/or academic plasma simulation tools (e.g., HPEM, Ace+, Viz Glow, Comsol, VSim)
  • commercial and/or academic multi-physics simulation tools (e.g. Ace+, Ansys, Comsol)
  • electromagnetic and magnetostatic simulation tools (e.g., Ansys HFSS, Ansys Maxwell)
  • deep understanding of chemical kinetics and fluid dynamics for industrial applications
  • hands-on experience with solver and algorithm development
  • hands-on experience with UI development

Qualifications:

Education:

Doctorate Degree (Required)

Skills:

Certifications:
Languages:

Years of Experience:

Up to 1 Year

Work Experience:

Additional Information:

Shift:
10-Day 8-Hr (United States of America)

Travel:
Yes, 10% of the Time

Relocation Eligible:
Yes

Referral Payment Plan:

None

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.

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About Applied Materials

Applied Materials

Applied Materials, Inc. is an American corporation that supplies equipment, services and software for the manufacture of semiconductor chips for electronics, flat panel displays for computers, smartphones, televisions, and solar products.

10,001+

Employees

Santa Clara

Headquarters

Reviews

4.0

1 reviews

Work Life Balance

2.0

Compensation

3.0

Culture

2.5

Career

2.5

Management

2.0

25%

Recommend to a Friend

Pros

Decent pay

Cons

Poor work-life balance

Limited pay raises

Management does not address issues

Salary Ranges

37 data points

L2

L3

L4

L5

L6

Mid/L4

L2 · Financial Analyst L2

0 reports

$92,625

total / year

Base

$37,050

Stock

$46,313

Bonus

$9,263

$64,837

$120,413

Interview Experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 25%

Neutral 75%

Negative 0%

Interview Process

1

Interview

2

Second Round Interview