ISP Algorithm Engineer - Computer Vision
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
Apple's Camera Algorithm team is looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras! As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here you will have the chance to define the way the Apple cameras capture, process, and render outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration, at both team and multi-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, like Silicon Design, Camera HW/SW, and QA. Our team environment is dynamic, fast-paced and requires a self-starter attitude.
Description
In this role, you will be responsible for prototyping, implementing and productizing embedded computer vision algorithms for ISP processing and capture control.
Algorithm development, prototyping and Implementation:
- Develop computer vision algorithms suitable for embedded systems, focusing on efficiency and performance, utilizing both traditional CV techniques (e.g., image processing, feature detection, IMU) and modern learning-based approaches.
- Drive the development of algorithms from concept to deployment, optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks.
Simulation and Testing:
- Use camera simulations to prototype and test algorithms before hardware implementation.
- Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios.
Collaboration and Integration:
- Work closely with various teams such as SOC architecture, Firmware, and other camera technology units to integrate algorithms effectively.
- Ensure smooth deployment and operation of algorithms within the broader camera system architecture.
- Collaborate with multiple teams to deliver optimized solutions.
The ideal candidate should be able to balance optimization and performance in resource-constrained environments, keep up with rapid technological advancements in both Computer Vision and Hardware, and ensure seamless integration with existing systems and processes.
Apple's Camera Algorithm team is looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras! As part of the team, you will work on core camera/ISP/Machine Learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here you will have the chance to define the way the Apple cameras capture, process, and render outstanding still image and video quality. Our close-knit team champions an environment of product innovation, rapid product iteration, and collaboration, at both team and multi-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, like Silicon Design, Camera HW/SW, and QA. Our team environment is dynamic, fast-paced and requires a self-starter attitude.
Description
In this role, you will be responsible for prototyping, implementing and productizing embedded computer vision algorithms for ISP processing and capture control.
Algorithm development, prototyping and Implementation:
- Develop computer vision algorithms suitable for embedded systems, focusing on efficiency and performance, utilizing both traditional CV techniques (e.g., image processing, feature detection, IMU) and modern learning-based approaches.
- Drive the development of algorithms from concept to deployment, optimize algorithms for power and processing efficiency, and ensure they meet the necessary performance benchmarks.
Simulation and Testing:
- Use camera simulations to prototype and test algorithms before hardware implementation.
- Conduct on-device testing and field testing to validate algorithm performance in real-world scenarios.
Collaboration and Integration:
- Work closely with various teams such as SOC architecture, Firmware, and other camera technology units to integrate algorithms effectively.
- Ensure smooth deployment and operation of algorithms within the broader camera system architecture.
- Collaborate with multiple teams to deliver optimized solutions.
The ideal candidate should be able to balance optimization and performance in resource-constrained environments, keep up with rapid technological advancements in both Computer Vision and Hardware, and ensure seamless integration with existing systems and processes.