Camera Simulation Engineer

Apple, Inc.

Cupertino (CA)

On-site

USD 190,000 - 230,000

Full time

5 days ago
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Job summary

Apple, Inc. seeks an expert Modeling & Simulation Engineer to design, develop, and maintain high-throughput simulation frameworks that generate large volumes of synthetic imagery from sensor to lens.

You will help model camera systems and simulate imaging performance for next-generation hardware. The ideal candidate has a strong background in optics, physics, and electrical engineering, with experience in computational imaging and managing projects in ambiguous spaces.

Qualifications

  • BS and a minimum of 10 years relevant industry experience in Optics, Physics, Electrical Engineering or related field.
  • Programming experience in Python, C, C or Matlab.
  • Experience with optics imaging system design, optical design, computational imaging, or similar.

Responsibilities

  • Design, develop, and maintain high-throughput simulation frameworks to generate large volumes of synthetic imagery from sensor to lens.
  • Build and refine models of camera systems to simulate real-world imaging performance for Apple products.

Skills

Optics
Physics
Electrical Engineering
Python
C
Matlab

Education

Bachelor's degree in Optics/ Physics/ EE
MS/PhD in Optics/ Physics/ EE

Job description

Do you love taking on big challenges that require exceptionally creative solutions? Do you deeply understand how an incredible camera experience should work? As part of our Camera Technologies group, you’ll help design the innovative technology that allows each generation of Apple products to produce photos even more incredible than the last. You’ll design and develop groundbreaking ideas for everything involved in our camera systems, from sensor to lens. You’ll collaborate with teams across Apple to research, design, develop, test, and qualify camera hardware for Apple products. Together, we’ll craft a magical photography experience that redefines what millions of customers can expect from their cameras.

The Camera Modeling & Simulation team, a part of the Camera Hardware and Depth Team, develops novel metrology, calibration, and simulation processes to enable the implementation and architecture of machine-vision-driven and photographic experiences. We collaborate closely with cross-functional teams to define hardware design specifications and key performance metrics to deliver seamless user experiences. The team is seeking an expert in imaging, optical system design, or computer vision with broad skills to help develop next-generation, high-throughput simulation frameworks to guide the design and architecture of next generation products.

Description

As a Modeling & Simulation Engineer on the Camera & Depth Architecture team, you will design, develop, and maintain high-throughput simulation frameworks to generate large volumes of synthetic imagery on-demand, and build and refine models of camera systems-from sensor to lens-to simulate real-world imaging performance.

Minimum Qualifications
  • BS and a minimum of 10 years relevant industry experience in Optics, Physics, Electrical Engineering or related field.
  • Programming experience in at least one of the coding languages: Python, C, C or Matlab.
  • Experience with one or more of the following: Optics: imaging system design, optical design, computational imaging, or similar.
Preferred Qualifications
  • MS/PhD degree in Optics, Physics, Electrical Engineering or related field and relevant industry experience in Optics, optical systems modeling & simulation,
  • Experience in project management and/or driving projects independently in ambiguous problem spaces.
  • Published research in imaging, computational photography, or related fields.
  • Experience with one or more of diffraction, raytracing, beam propagation, radiometry, sensor physics.
  • Experience with synthetic data generation for ML training pipelines, model optimization and/or deployment, related to imaging and data analyses.
  • Data analysis from manufacturing sources, validation and correlation against real hardware.
  • Distributed processing / simulations at scale.
  • Experience with algorithms for image quality enhancement.
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