Lead iOS Engineer

San Francisco /
Software – Mobile Development /
As a Software Engineer on all.health's iOS team, you will be responsible for bringing all.health's unique vision for mobile and wearable technology to life on the iOS platform. You will collaborate closely with our product, design, and backend development teams to define, develop, and deliver iOS applications that are a deeply integrated component of the rich user experience we strive to create for each of our products.
At all.health, we are more than just a hardware company. We think software plays a vital role in today’s mobile lifestyle. We believe we can create ground breaking systems and experiences that incorporate beautifully crafted software solutions with our innovative mobile and wearable devices.
If you enjoy problem solving with a small, creative and dedicated team in a fast-paced environment, have a deep love for technology, and are passionate about building new and innovative products and applications that will change the way people live, we want you to help us deliver on this vision.
Core Responsibilities:
- Design and develop all.health's iOS applications in a small, collaborative team environment, with a strong focus on usability and performance.
- Work closely with the platform team to integrate all.health iOS applications with our backend services.
- Collaborate with the product and design teams to make our applications useful, beautiful, and fun to use.

Location: San Francisco is the first choice, though we have a distributed team so remote candidates will be seriously considered.


    • 2+ years experience developing complex iOS applications using technologies such as Core Data, Core Graphics, CFNetwork and Core Bluetooth.
    • Extensive experience developing User Interfaces for mobile applications.
    • Significant experience interacting with and/or designing and implementing RESTful APIs.
    • Passion for writing clean, maintainable, and testable code at both the UI and system levels.
    • Strong understanding of iOS performance analysis and optimization techniques.
    • Excellent programming and computer science fundamentals, and a deep love for technology.
    • Ability to adapt and learn new skills coupled with a resourceful, can-do attitude.
    • Outstanding attention to detail.
all.health has developed a comprehensive preventative and proactive healthcare platform that combines clinical-grade sensors, machine learning, patient histories, insurance claims data, and other information to provide real-time at-risk screening for several disease conditions; these include acute respiratory infections such as COVID-19, and chronic conditions such as hypertension and diabetes. Contextualized 24/7 data along with clinician input and interventions will then be used to guide positive behavior changes. The premise is to catch various health conditions early and help reverse or manage the negative effects.