Location Software AI Tools Engineer, Sensing & Connectivity

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.

Join Apple, and help us leave the world better than we found it. Our Sensing and Connectivity team is seeking AI Engineer Development Engineer in Test to validate and advance the next generation of location algorithms powering every Apple product. Our proprietary positioning stack fuses GNSS, Cellular, Wi-Fi, and Bluetooth signals to deliver the location experience behind Maps Navigation, Fitness applications, Emergency SOS via Satellite, and more. As an AI Engineer you will directly accelerate our processes and improve the teams productivity in measuring accuracy, reliability, and performance of the location algorithms which ensure hundreds of millions of users can trust the blue dot. The Software Location QE team operates at the intersection of algorithm development and quality engineering. We design experiments, build analysis pipelines, and run validation campaigns that prove (or disprove) that location algorithms meet Apples rigorous standards across real-world and simulated environments.

Were looking for an engineer to bring AI-native tooling and agentic workflows to the way we validate our location stack. You will build agentic data pipelines to curate and quality-check location datasets and define the benchmarks that measure model quality, reliability, and real-world positioning behavior. You will own the quality bar for location features and partner across hardware, apps, and platform teams to ship AI-driven experiences from the ground up.Design and deploy AI-native tooling and agentic workflows within existing automation infrastructure to accelerate algorithm validation across location sensing domains Build agentic data pipelines to ingest, curate, and quality-check location datasets Develop an end to end replay system to measure quality, reliability, and real-world behavior of changes to the stack before submission to the mainline. Partner with hardware, apps, and platform teams to ship AI-driven experiences from the ground up Own the quality bar for location features and turn the latest AI capabilities into real impact for users Bachelors degree in Computer Science, Electrical Engineering, Applied Mathematics, or equivalent experience. B.S. in Computer Science or relevant field Experience building and shipping ML or AI systems, in production or through significant project work Hands-on experience with LLMs, prompt engineering, and agentic frameworks Experience designing evaluation frameworks, quality metrics, and test infrastructure Strong software engineering fundamentals, with proficiency in Python and comfort across the stack Demonstrated ability to deliver end-to-end features against release schedulesUnderstanding of A-GNSS protocols, multi-constellation GNSS operation(GPS, Galileo, GLONASS, BDS), embedded ML systems and sensor-fusion architectures Familiarity with distributed compute platforms and large-scale data infrastructure Prior experience in fast-paced, agile environment with flexibility to pivot quickly to support evolving product requirements