Image Sensor Embedded Systems Engineer – Camera Hardware

Apple
Published
August 20, 2020
Location
One Infinite Loop, Cupertino, California
Category
Job Type

Description

The Camera Hardware Engineering group is responsible for all research, design, development, test and qualification of camera hardware and software for Apple products. In this role, you will engineer code that will enable the next generation of Camera Image Sensors. You will collaborate with other firmware and hardware groups to enable features and debug issues on the image sensors and ASICs used in Apple Camera products.

Key Qualifications

  • You will have 5+ years of experience developing device drivers and firmware.
  • Strong, proven coding skills in C/C++ in an embedded environment
  • Strong object-oriented programming, debugging and performance tuning skills.
  • You will have prior experience with Image Sensor integration into mobile systems.
  • Previous experience with Image Sensor technology and Camera HW components.
  • Familiarity with camera system communication protocols such as MIPI/I2C, DisplayPort.
  • Proficiency in scripting languages, such as Python.
  • Familiarity with machine learning algorithms and framework is a plus.
  • Ability to work cross-functionally and execute in a self-directed environment.
  • Ability to deliver clean, well factored code.

Description

  • Develop, maintain and pursue performance targets for low-level device driver for image sensors across all Apple products.
  • Architect and develop embedded systems solutions to take advantage of new sensor capabilities to target camera features.
  • Support post-silicon characterization by developing test firmware for wide range of hardware in the latest camera sub system. Including camera peripherals such as lens actuators, voice-coil motors (VCMs) and power management units (PMUs).
  • Perform bring-up, triage bugs reported and aid in system integration.
  • Work closely with vendors and cross functionally within Apple to define features, identify the requirements and review implementation.

Education & Experience

  • BS in Computer Science or Electrical Engineering

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