Software Development Engineer - Technologies, Sensing & Connectivity

Software Development Engineer - Location Technologies, Sensing & Connectivity

Cupertino, California, United States – Software and Services

Our mission is to personalize the user experience on Apple devices based on where you go, when, and what those places mean to you. You experience our work whenever you see a suggested location in Maps or Calendar, or browse your Memories in Photos or Journal. We’re working for you whenever your phone engages Do Not Disturb While Driving or remembers where you parked.

We’re the Location Context team and we build the location intelligence backbone powering Maps Visited Places, Siri location suggestions, and predictive features across the OS. If you love tackling hard problems at the intersection of location state estimation, on‑device machine learning, and privacy‑preserving systems, read on.

• Building location state estimators that fuse GPS, WiFi, IMU, and altimeter data to understand not just where users are, but the floor of a building they’re on.
• Designing ML models to infer the semantics of a place and forecast where the device will go next, entirely on‑device with strict power and memory budgets.
• Developing clustering algorithms and data pipelines that process billions of location events while preserving user privacy.
• Optimizing system performance at massive scale—where a 1% edge case impacts 10 million devices and a power regression of 0.1% matters.
• Collaborating with Maps, Siri, Photos, Home Kit, Journal, and Safety teams to power features that require deep contextual understanding.

In this role, you’ll develop the next frontier of location intelligence, in partnership with teams across sensing, Siri, Maps, and system frameworks. You’ll work on problems from research through production deployment:

• Design and implement location state estimation algorithms that fuse multi‑modal sensor data (GPS, WiFi positioning, accelerometer, altimeter, barometer) to build a rich understanding of user context and mobility patterns.
• Develop on‑device machine learning models for place inference, route prediction, and behavioral forecasting that operate within strict power and memory constraints.
• Build data processing pipelines that aggregate, filter, and cluster real‑world sensor data on mobile devices, balancing intelligence with resource constraints.
• Implement sophisticated algorithms for background location awareness and semantic understanding, then integrate them into production code running on hundreds of millions of devices.
• Collect and analyze real‑world datasets to train models, validate performance, and iterate on algorithm design.
• Rigorously test and dogfood your work; collect metrics across diverse user populations and edge cases. An issue that affects 1% of a billion devices is a big issue.
• Optimize for the full system: CPU, memory, power consumption, and radio usage. Our software needs to provide a high level of intelligence while sipping battery—this is one of the most exciting engineering challenges in mobile computing.
• All work is guided by a dedication to users’ privacy and security: no sensitive data is sent back to Apple or exposed to third parties.

• Conceptualize, explore, and define new inferential and predictive location‑ and motion‑based capabilities for Apple’s platforms.
• Design and implement location state estimation algorithms, sensor fusion techniques, and ML models for on‑device inference.
• Develop clustering and pattern recognition algorithms to identify significant locations, routes, and behavioral patterns from noisy sensor data.
• Build and optimize data processing pipelines that operate within strict power and memory budgets on mobile hardware.
• Collect, curate, and analyze real‑world datasets of varying size and complexity to validate algorithm performance.
• Integrate algorithms into production code (Objective‑C, Swift, C++), working within daemon and framework architectures.
• Profile and optimize system performance: measure CPU, memory footprint, power consumption, and latency; iterate to improve.
• Collaborate across teams (Maps, Siri, Photos, Health, Safety) to understand requirements and deliver capabilities that enable compelling…