Design Engineer, AR Waveguide III (E3)

Posted 20 Hours Ago
Be an Early Applicant
Santa Clara, CA
152K-209K Annually
Mid level
Semiconductor
The Role
As an applied mathematician, you will enhance simulation and optimization for AR waveguide combiners. Responsibilities include developing novel algorithms, optimizing design processes in complex spaces, and ensuring optimal computing methods and hardware. You will need to communicate technical advantages and risks effectively.
Summary Generated by Built In

Applied Mathematician, AR Waveguide Design

The simulation, optimization, and fabrication of diffractive AR combiners is a phenomenally complex problem for what is ultimately just a passive optical element. Applied Materials’ Photonics Platforms Business has taken on this challenge and emerged as an industry leader in the production of high-performance AR optics.

We are seeking a full-time applied mathematician to enhance our fundamental simulation and optimization infrastructure for augmented reality waveguide combiners. Our capabilities are built on a strong backbone of photonics expertise, and we are looking to bring in new talent with experience constructing complex mathematical frameworks that yield efficient algorithms. An ideal candidate will have a passion for utilizing mathematical methods to both capture complex real-world phenomena and produce high-quality optimized designs.

Key Responsibilities:

  • Apply a combination of novel algorithm development and machine learning techniques to enhance the speed, accuracy, and scope of diffractive combiner models
  • Explore optimization schemes to improve the quality and speed of convergence in an exceptionally non-convex space with thousands of degrees of freedom
  • Make fundamental advances in how we approach new design discovery
  • Ensure that the combination of compute methods and compute hardware are optimal for the problems being solved

Key Qualifications

  • MS or PhD in applied mathematics, applied physics or similar discipline related to the below qualifications
  • Proficiency in MATLAB and C++
  • Proficiency in a variety of Machine Learning, Optimization and Control algorithms
  • Familiarity with highly parallelized cluster computing
  • Familiarity with physics-informed neural networks
  • Effective in communication of advantages, disadvantages, accuracy and risks of different algorithms, modeling approximations, and technical decisions

Preferred Qualifications

  • Experience in optics and electromagnetics
  • Experience in hardware design

Qualifications

Education:

Bachelor's Degree

Skills:

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

U.S. Salary Range:

$152,000.00 - $208,500.00

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. 

Top Skills

C++
Matlab
The Company
HQ: Santa Clara, CA
23,282 Employees
On-site Workplace
Year Founded: 1969

What We Do

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 enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.

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