Android Engineer II (IoT)

TL;DR

Android Engineer II (IoT/Wearables): Designing and optimizing Android modules that interface with embedded systems for wearable health technology with an accent on data pipelines and hardware integration. Focus on building efficient APIs, implementing BLE protocols, and ensuring system reliability for physiological data processing.

Location: On-site in Boston, MA. Must be a US Citizen to obtain government security clearance.

Salary: $125,000–$175,000

Company

Wearable technology company on a mission to unlock human performance and healthspan through deep physiological understanding.

What you will do

• Develop Android systems that integrate seamlessly with hirify.global hardware and firmware.
• Implement and maintain APIs and services for efficient physiological data pipelines.
• Collaborate with cross-functional teams to troubleshoot and improve system reliability and performance.
• Explore and apply new technologies to strengthen scalability and fault tolerance.
• Uphold high standards of code quality, testing, and documentation.
• Integrate and leverage AI tools into daily development workflows.

Requirements

• Proficiency in Kotlin and professional Android development.
• Experience with API and SDK design for hardware or backend integration.
• US Citizenship is required to obtain and maintain a US government security clearance.
• Strong problem-solving and communication skills for a cross-functional environment.
• Commitment to using AI-assisted tools to maintain high-quality output.

Nice to have

• Experience with Bluetooth Low Energy (BLE) or other wireless protocols.
• Knowledge of data engineering concepts, stream processing, or database optimization.
• Background in hardware development workflows or embedded systems.
• Contributions to open-source mobile software projects.

Culture & Benefits

• Competitive base salary and a generous equity package.
• Comprehensive benefits package.
• Mission-driven environment focused on human health and performance.
• Emphasis on engineering excellence and the adoption of AI productivity tools.