Software Development Engineer - Location Technologies, Sensing & Connectivity

Location: Cupertino, CA
Type: Full-time
Posted: 8/19/2026

About the role

The Location Context team at Apple is seeking engineers to enhance location intelligence across various applications like Maps and Siri. The role focuses on solving complex problems related to location state estimation, on-device machine learning, and privacy-preserving systems. Engineers will work on developing algorithms that fuse multi-modal sensor data to understand user context and mobility patterns. This position emphasizes collaboration with multiple teams to create intelligent features while ensuring user privacy.

Requirements

• 5+ years of experience developing commercial software, preferably systems-level or embedded software running on resource-constrained devices.
• Strong programming skills in C, C++, Objective-C, or Swift, with a solid foundation in algorithms, data structures, and computational complexity.
• Working knowledge of statistics and probability, including comfort with histograms, probability distributions, Bayesian inference, and hypothesis testing.
• Deep expertise in location technologies such as GPS/GNSS positioning, WiFi-based localization, and sensor fusion for state estimation.
• Experience with machine learning for time-series data, spatial data, or behavioral prediction, with a strong plus for on-device ML experience.
• Background in signal processing, Kalman filtering, particle filters, or other probabilistic state estimation techniques.
• Experience with clustering algorithms and unsupervised learning applied to spatial or temporal data.
• Strong collaboration skills and ability to work effectively across teams with diverse expertise.

Responsibilities

• Design and implement location state estimation algorithms that fuse multi-modal sensor data 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, integrating 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.
• Test rigorously and collect metrics across diverse user populations and edge cases.
• Optimize for the full system including CPU, memory, power consumption, and radio usage.

Benefits

• Comprehensive medical plans, confidential counseling, onsite wellness centers, and resources for fitness and daily life.
• Fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance.
• Stock grants with purchase discounts, 401(k) matching, and income-protection coverage.
• Robust time off policies.
• Apple University learning and tuition reimbursement.
• Donation matching and paid volunteer hours.
• Deep product and partner discounts.