About the role
Summary
The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a data engineer with strong experience in distributed systems, real-time data pipelines, and large-scale telemetry processing to help build the data infrastructure that enables algorithms to operate reliably at a global scale.
Description
In this role, you will design, build, and maintain scalable data pipelines that ingest, process, and transform large volumes of crowdsourced sensor data from heterogeneous mobile and edge devices. You will develop real-time streaming systems, create simulation and replay frameworks, support algorithm experimentation at scale, and ensure data quality across highly dynamic and noisy environments. You will work closely with machine learning engineers, hardware teams, and software engineering partners to architect data flows, optimize end-to-end latency, and deliver robust, production-ready systems that support features deployed on millions of devices worldwide.
Minimum Qualifications
5 years of experience developing data ingestion, transformation, and validation pipelines for noisy or heterogeneous datasets 5 years of experience with cloud or distributed storage systems (S3, HDFS, object stores) and columnar formats (Parquet, ORC) 3 years of experience designing real-time or distributed data pipelines with stream-processing frameworks (Kafka or equivalent) 3 years of experience managing large-scale telemetry or sensor-data systems
Preferred Qualifications
Graduate degree in Computer Science, Data Science, or equivalent experience. Experience with IoT or mobile-sensing data, including intermittent connectivity and edge-generated telemetry Experience with time-series data systems, sensor pipelines, or environmental/earth science data Experience supporting simulation, replay, or regression pipelines for algorithm evaluation Experience with data-quality frameworks, schema management, and observability tools
Skills & Tags
Aplyr's read
Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
What's promising
- •Apple consistently leads in tech innovation with a strong focus on design and user experience.
- •The company's global brand recognition offers employees a prestigious platform for career growth.
- •Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.
What to watch
- •High-pressure work environment with demanding deadlines can impact work-life balance.
- •Apple's secretive culture may limit transparency and cross-departmental communication.
- •Dependence on hardware sales makes the company vulnerable to market saturation risks.
Why Apple
- •Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
- •The company has a unique retail presence with its own stores enhancing customer experience.
- •Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.
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About Apple
Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.
