Responsibilities

Build and maintain iOS application components that interface with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, and related communication protocols.
Contribute to background and system-level iOS services responsible for device connectivity, synchronization, and data transfer.
Write clean, maintainable Swift code using modern iOS patterns and frameworks such as Combine and Swift concurrency.
Collaborate closely with firmware, mobile, and cloud engineers to investigate and resolve issues across distributed systems.
Improve the reliability, performance, and efficiency of the WHOOP connectivity experience.
Contribute to scalable, testable, and maintainable software architecture within the Connectivity team.
Participate in code reviews, technical discussions, testing, and release processes for the iOS application.
Document features, implementation details, and operational knowledge using tools such as Jira, Confluence, and GitHub.

Qualifications

BS or MS in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
2+ years of professional iOS software engineering experience.
Proficiency in Swift and familiarity with iOS system APIs, concurrency, and memory management.
Experience building and maintaining production-quality mobile applications.
Familiarity with asynchronous and reactive programming concepts (e.g., async/await, Combine, or similar).
Ability to debug and troubleshoot technical issues across mobile applications and connected systems.
Strong collaboration and communication skills with a willingness to learn from and work across disciplines.
Curiosity, ownership, and a growth mindset when approaching new technical challenges.

Experience working with Bluetooth Low Energy (BLE), Core Bluetooth, or other device connectivity technologies.
Familiarity with networking concepts such as Wi-Fi, background transfers, or low-level communication protocols.
Experience working with hardware-integrated mobile applications or IoT systems.
Exposure to performance optimization, battery efficiency, or reliability improvements in mobile apps.
Interest in leveraging AI-assisted development tools to improve engineering productivity.