Modeling and Simulation Engineer

Company: Apple
Company: Apple
Location: Cupertino, California, United States
Department: Hardware
Posted on: 2024-08-03 06:01
Summary Posted: Aug 2, 2024 Weekly Hours: 40 Role Number: 200561657 Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what’s considered feasible? As part of our Display Technologies group, you’ll help ensure our products’ displays work beautifully through the successful design, fabrication, and implementation of components in Apple devices. From initial concept to mass production, you’ll develop highly innovative displays for the full line of Apple products, including Apple Watch, iPhone, iPad, and Mac. Through touch and sight, these displays are how millions of Apple customers connect with our products every single day. Together, you’ll collaborate with multifunctional teams across Apple to make each interaction a magical experience to see and touch. Description Description PPO module team is looking for a highly motivated Display FEA/ Testing Engineer with deep understandings of material science, machine learning and excellent problem solving and communication skills. Develop in-house tests to collect display module failures in field conditions with thermal, mechanical, environmental and electrical stresses Develop and implement ML algorithms to assist mechanical test data collection and analysis by collecting and quantifying sophisticated physical phenomena. Work with testing and FEA engineer and to connect test output and FEA input. Propose innovative ideas and solutions to mitigate potential risks based on in-depth understanding of the simulation and testing results Take ownerships of instruments and algorithm for the organization by developing recipes, creating SOPs and training operators, in order to take the best uses of existing resources to solve problems for Apple Communicate and report analysis results to team as well as multi-functional peers and management on a regular basis. Minimum Qualifications Minimum Qualifications PhD in mechanical engineering, material science, computer science or with +6 years’ industrial experience Deep Understanding and Hands on experience in machine learning algorithm design, modeling or quantitative analysis. Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications Hands on experience in crafting and performing material characterization. Knowledge and experience on both material characterization and machine learning are highly desired. Education & Experience Education & Experience Additional Requirements Additional Requirements Pay & Benefits Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $214,500, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. More Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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