Software Development Engineer in Test, 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 theres no telling what you could accomplish. The people here at Apple dont just create products they create the kind of wonder thats revolutionized entire industries. Its 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. nnJoin Apple and help us leave the world better than we found it. Our Sensing and Connectivity team is seeking a Software 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 a Location Test Engineer focused on Algorithm Validation you will directly measure characterize and improve the accuracy reliability and performance of these algorithms ensuring 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 looking for an engineer with a deep understanding of GNSS positioning algorithms and statistical validation methods to strengthen the reliability and robustness of our proprietary location system. You will define what correct looks like for positioning accuracy evaluate algorithm changes against ground-truth data and drive continuous improvement through data-driven insights.

Algorithm Validation u0026 Characterization Design and execute validation plans that measure positioning accuracy time-to-first-fix (TTFF) yield and continuity for GNSS A-GNSS hybrid and fused location -Cause Analysis Debug GNSS/cellular/Wi-Fi positioning logs to isolate regressions; develop custom analysis scripts and statistical models to quantify Infrastructure Build and maintain automated test routines and data-analysis pipelines that integrate with existing test harnesses enabling continuous algorithm regression u0026 Scenario Design Define and manage GNSS constellation simulation scenarios (including multi-frequency multi-constellation and assisted modes) for functional performance and 3GPP conformance u0026 Reporting Establish quantitative pass/fail criteria and dashboards that track algorithm KPIs (CEP50/95 TTFF distributions availability) across product lines and OS -Functional Collaboration Partner closely with algorithm hardware and firmware engineers to translate validation findings into actionable algorithm improvements; drive tight-timeline deliverables across teams.n

Bachelors degree in Computer Science Electrical Engineering Applied Mathematics or equivalent experience.n3 years of experience in GNSS algorithm testing positioning validation or wireless system in Python for data analysis scripting and automation nExperience with GNSS simulation equipment (Spirent LabSat) and RF record-and-playback systems for repeatable algorithm understanding of positioning accuracy metrics and statistical methods for evaluating algorithm with QA methodologies and test automation strategy.

Knowledge of the chipset validation lifecycle from silicon bring-up through production-level algorithm of A-GNSS protocols multi-constellation processing (GPS Galileo GLONASS BDS) and sensor-fusion architecturesnExperience with genAI in applications to anomaly detection test-case generation or automated log to read and interpret 3GPP location-service specifications (LPP SUPL) and translate logs to verify misses against conformance requirementsnExcellent written and verbal communication skills; comfortable presenting algorithm validation results to cross-functional experience in fast-paced agile environment with the flexibility to pivot quickly to support evolving product requirements.n