Apple AR/VR Job | Mathematical Modeling Engineer - Platform Architecture

Job(岗位): Mathematical Modeling Engineer - Platform Architecture

Citys(岗位城市): Cupertino, California, United States

Date(发布日期): 2025-1-10

Summary(岗位介绍)

Exploratory Design, part of Platform Architecture, is seeking to fill a position in technology exploration, physics modeling, and numerical optimization. Exploratory Design helps Apple by building hardware prototypes that demonstrates the possibility of technological approaches that would otherwise be too risky to include in our product roadmaps. We work in a wide variety of technical fields and compare disparate ways of approaching the same challenge.

Qualifications(岗位要求)

BS and a minimum of 3 years relevant industry experience.

Experience with numerical simulation and optimization in at least in one of C, C++, Python, or MATLAB.

Description(岗位职责)

For this role, we are looking for a candidate that will be well-versed in a broad range of mathematical techniques used to simulate and optimize physical systems. You will help investigate multiple alternative ways of reaching customer-focused end goals through a quantitative exploration of potential approaches. Further, you will also need to possess the following;

• Ability to drive technical investigations into the feasibility of alternative approaches to problems and help us sort the impossible from the feasible.

• Ability to communicate with a team that has highly diverse technical backgrounds and tune the level of technical detail they present.

• Ability to thrive in an environment where goals and approaches fluctuate rapidly.

Additional Requirements(额外要求)

Ph.D. or equivalent in mathematical modeling, mathematical physics, mathematical engineering, or a similar field.

Understanding of physics and how to numerically simulate physical phenomena.

Command of multiple techniques in convex and non-convex numerical optimization.

Experience in simulations involving computational Physics.

Ability to choose and conduct appropriate statistical analyses to support scientific inferences.

Use of cutting edge techniques in high performance computing.

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