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Job Location: Seattle, WA
Summary
Posted: May 2, 2022
Role Number:200374076
Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered products such as Face ID, ARKit, and RealityKit. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Come shape Apple products as a driven and dedicated Software Engineer for integration and data processing with hands-on work in an innovative team and be part of building the next big thing.
Key Qualifications
- Strong proficiency in modern C/C++ and Python in writing clean and well-structured code
- Ability to design and implement flexible yet efficient software architectures
- Good understanding of data structures and algorithms
- Familiarity with distributed computational models for data processing
- Experience with building real-time data processing pipelines for embedded machine learning or computer vision applications is a plus
- Hand-on experience working with relational and NoSQL databases is a plus
- Familiarity with cloud technologies is a plus
- Excellent written and verbal communication skills, including the ability to describe and document software clearly
- Passion for quality and exceptional attention to detail
- Self-motivated and great teammate
Description
As a Software Engineer in this role, you will be working in a cross-functional team consisting of computer vision algorithm engineers, firmware engineers, and software developers. As part of your responsibilities, you will: * Architect, integrate, and maintain C/C++ software libraries for embedded data processing pipelines for computer vision algorithms that power Apple quality experiences on Apple products. * Architect, implement, and maintain distributed data processing pipelines in Python that enable algorithm benchmarking in the cloud and testing at scale. * Release software as part of a cross-functional process. Own the architecture and work with algorithm engineers together on realizing maintainable and testable implementations.
Education & Experience
MS or PhD in Computer Science or related fields with 2+ years of industry experience, or BS in Computer Science or related fields with 5+ years of industry experience, or equivalent experience working in the industry, with a track record of delivering successful projects.
Additional Requirements
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