Systems Modeler Engineer - Platform Architecture

Apple • Cupertino, CA

4h

About The Position

Imagine what you could do here. The Exploratory Design Group (XDG) is seeking a
Systems Modeler Engineer to help us bridge the gap between theoretical physics
and engineering reality. We are a diverse team of computational scientists,
device physicists, and hardware engineers working to create technologies that do
not exist yet.

DESCRIPTION

We are looking for a "technical utility player”: an experienced physicist or
engineer with a strong mathematical bent who can adapt to whatever challenge the
day brings. One month you might be modeling thermal noise in a novel sensor; the
next you might be writing high-performance C++ code to simulate a complex
system. You don't need to be an expert in everything, but you must have the
fundamental physics intuition and coding skills to dive into new fields and
solve problems that strictly hardware-focused or strictly software-focused teams
cannot.

Requirements

• BS in Physics, Electrical Engineering, Applied Mathematics, or related field with 10 years relevant industry experience.
• Experience building mathematical models of physical phenomena (e.g., thermal, electronic, or optical systems).
• Experience programming with Python, C++, or similar.

Nice To Haves

• PhD in Physics, Electrical Engineering, Applied Mathematics, or related field with 5+ years of industry experience in a hardware, electronics, or R&D environment.
• Proficiency in scientific programming (Python, C++, or similar) with a track record of writing code to solve engineering problems.
• Broad Physics Background: Experience in the consumer electronics or semiconductor industry, with exposure to sensors, noise modeling, or signal chains.
• Mathematical Depth: Proven expertise with partial differential equations, linear algebra, nonlinear dynamics, or statistical modeling.
• Signal Processing: Experience applying math to clean up or interpret real-world sensor data.
• Adaptability: A history of taking on "undefined" technical tasks—learning the necessary math or physics on the fly to unblock a project.
• Communication: Ability to explain complex mathematical concepts to hardware engineers and management.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level