Software Development Engineer

Apple•Cupertino, CA

12d•$152,071 - $220,900•Onsite

About The Position

Build rich user interfaces powered by sophisticated, high-performance backend systems. Build large scale infrastructure and generate insights to serve Apple’s customers with up-to-date and high-quality information. Build out Peta Byte-scale data processing platform to provide world-class internet services that power Apple's range of products. Code and develop scalable backend infrastructure. Design and maintain distributed systems while ensuring data consistency, replication, and fault tolerance. Monitor and optimize the performance and scalability of different cloud infrastructure solutions owned by the team. Develop and maintain systems to manage the lifecycle of datasets. Design, build, and maintain data/indexing pipelines for information retrieval and search purposes. Monitor resource utilization and optimize infrastructure to ensure cost-effectiveness. Work closely with cross-functional teams, including software developers and data/ML engineers, to ensure seamless integration with cloud infrastructure components. Develop and optimize search algorithms, implement AI/ML models efficiently, and enhance system responsiveness through algorithmic improvements. Design fault-tolerant systems, implement distributed caching mechanisms, and optimize resource utilization for search and AI/ML workloads. Provision and manage cloud resources, optimize infrastructure costs, and ensure seamless integration with other AWS services. Optimize data processing workflows, implement data partitioning strategies, and integrate with distributed computing frameworks like Apache Spark. Tune database configurations, optimize file system I/O operations, and troubleshoot system-level issues affecting search and AI/ML systems. Optimize system concurrency for parallel processing, design efficient data structures for large-scale data storage, and architect robust system architectures to handle complex workloads.

Requirements

Master’s degree or foreign equivalent in Artificial Intelligence and Innovation, Computer Science, Computer Engineering or related field.
Programming knowledge in Java, Python, testing and optimizing code and analyzing computational complexity of algorithms.
Applying mathematical, algorithmic, and practical knowledge of issues involving learning with large datasets
Designing, architecting, and building scalable distributed services to support the high availability and reliability requirements of cloud infrastructure.
Leveraging AWS services including Amazon S3 for scalable storage, EC2 for compute resources, and EKS/Kubernetes for container orchestration to build and deploy robust cloud infrastructures.
Handling and processing petabyte-scale datasets efficiently, including designing and implementing data pipelines to ingest, transform, and analyze large volumes of data.
System-level concepts including database internals, operating systems, and file systems, with a focus on optimizing performance and reliability of cloud infrastructure components.
Learning and adapting to new technologies and tools relevant to cloud infrastructure development and operations by staying abreast of emerging trends in cloud computing, machine learning, and distributed systems, and applying new knowledge to enhance the capabilities of the team's infrastructure
Fundamental systems concepts including multithreading, concurrency, algorithms, data structures, and system design principles, with a focus on applying these concepts to build scalable and performant cloud infrastructures.

Responsibilities

Build rich user interfaces powered by sophisticated, high-performance backend systems.
Build large scale infrastructure and generate insights to serve Apple’s customers with up-to-date and high-quality information.
Build out Peta Byte-scale data processing platform to provide world-class internet services that power Apple's range of products.
Code and develop scalable backend infrastructure.
Design and maintain distributed systems while ensuring data consistency, replication, and fault tolerance.
Monitor and optimize the performance and scalability of different cloud infrastructure solutions owned by the team.
Develop and maintain systems to manage the lifecycle of datasets.
Design, build, and maintain data/indexing pipelines for information retrieval and search purposes.
Monitor resource utilization and optimize infrastructure to ensure cost-effectiveness.
Work closely with cross-functional teams, including software developers and data/ML engineers, to ensure seamless integration with cloud infrastructure components.
Develop and optimize search algorithms, implement AI/ML models efficiently, and enhance system responsiveness through algorithmic improvements.
Design fault-tolerant systems, implement distributed caching mechanisms, and optimize resource utilization for search and AI/ML workloads.
Provision and manage cloud resources, optimize infrastructure costs, and ensure seamless integration with other AWS services.
Optimize data processing workflows, implement data partitioning strategies, and integrate with distributed computing frameworks like Apache Spark.
Tune database configurations, optimize file system I/O operations, and troubleshoot system-level issues affecting search and AI/ML systems.
Optimize system concurrency for parallel processing, design efficient data structures for large-scale data storage, and architect robust system architectures to handle complex workloads.