SW Automation Tech Lead - Location Technologies

Join Apple’s Sensing and Connectivity team to lead the development and validation of groundbreaking location technologies that power core user experiences across Apple’s ecosystem. We work at the intersection of GNSS, UWB, WiFi, and Bluetooth to create deeply integrated, highly scalable wireless solutions. As a senior engineer or technical lead, you will take ownership of end to end strategy, test design, and system validation for key features that ship in some of the world’s most iconic products. You’ll work cross-functionally across global teams to ensure system-level performance, robustness, and customer impact, with the autonomy to drive complex projects from concept through production. This is an opportunity to shape the future of wireless positioning and contribute to cutting-edge innovations that reach millions of users. If you bring deep technical expertise, leadership experience, and a strong sense of ownership, we’d love to hear from you.

Description

As part of the Location Software Quality team, you will lead test development and automation efforts for wireless location systems, collaborating with software, hardware, and QA teams globally. Your responsibilities will include building scalable test infrastructure, driving automated validation pipelines, and using data to inform product quality and design. You’ll serve as a key technical contributor and mentor, influencing not only test coverage but the architecture of the overall system. This role requires both technical depth and the ability to align teams around clear quality goals.

Minimum Qualifications

B.Sc. in Electrical/Computer engineering/Computer science or equivalent
Proven experience leading system-level testing with end-to-end project execution.
Experience working with remote, multi-functional teams and managing cross-team dependencies.
Proficiency in test automation, data processing and validation using Python utilize OOP development.
Expertise in test strategy development, use case creation, and automation frameworks.
Strong data analysis skills and the ability to drive engineering decisions based on empirical results.
Excellent communication and stakeholder engagement skills.
B.Sc. in Electrical/Computer engineering/Computer science or equivalent

Preferred Qualifications

Background in wireless technologies, including Bluetooth, WiFi, UWB, and GNSS, and their role in location-aware systems.
Familiarity with debugging tools, regular expressions (regex), and wireless protocol analysis.

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