Salary: $150,000 - 180,000 per year
Requirements:
- We need strong Swift and SwiftUI skills, with proven experience shipping iPad or iOS apps and a solid sense for touch-first UX and UI.
- We need hands-on experience with Swift Concurrency, including async/await, actors, and structured concurrency.
- We need a testable, decoupled architecture and comfort working with mocks and abstractions instead of relying on hardware.
- We need experience integrating on-device ML, such as CoreML, including loading models, running inference on image frames, and using outputs for overlays.
- We need experience working with REST APIs, secure uploads, token-based authentication, and Swift Package Manager.
- We need experience using XCTest and keeping simulator builds stable.
- We expect AI-assisted development to be part of your daily workflow, with the judgment to know when generated output is correct and when it is not.
- Nice-to-have experience includes peripheral or hardware SDK integration such as BLE or CoreBluetooth, Wi-Fi peripheral pairing, or streaming media pipelines.
- Nice-to-have experience includes work with ultrasound, medical devices, or imaging apps.
- Nice-to-have experience includes strong visual or interaction design instincts, or close collaboration with designers.
- Nice-to-have experience includes XcodeGen or similar reproducible project-generation tooling.
- Nice-to-have experience includes de-identified or regulated data handling on device, including Keychain use and exclusion of data from backups.
- Nice-to-have experience includes Metal, Accelerate, or other performance tuning for real-time image display.
Responsibilities:
- We own the native iPad app, including the capture experience, UX, real-time imaging pipeline, on-device ML inference, and secure upload flow to the backend.
- We design and build the live capture experience, including navigation guidance, quality prompts, and capture confirmation, in close collaboration with design and the clinical team.
- We integrate live ultrasound imaging from a handheld probe through the vendor SDK, including BLE discovery, Wi-Fi joining, and B-mode streaming.
- We keep the imaging boundary behind a protocol so development and testing can continue in the simulator using a mock imaging source.
- We run on-device navigation and segmentation models to recognize views, score image quality, and drive guidance overlays in real time.
- We support two capture streams: a user-confirmed diagnostic stream and a consent-gated background sampling stream for model improvement.
- We upload captured data securely and reliably while ensuring it remains de-identified, with only UUIDs and a numeric research ID leaving the device.
- We manage secure device authentication, with tokens stored in the Keychain.
- We work in a fast-paced, hands-on environment and report directly to the CTO.
Technologies:
- AI
- Backend
- CTO
- Flow
- Hardware
- Support
- Machine Learning
- REST
- Swift
- iOS
- UX UI Design
- API
- Claude Code
- Cloud
- Cursor
More:
Sonari is a well-funded startup and the worlds first company to deploy AI-powered ultrasound in professional sports, turning a fast, portable scan into objective data on an athletes tissue health, performance, and endurance over time. We are working toward a major goal: predicting soft-tissue and non-contact injuries. Our technology is grounded in peer-reviewed research, and we are backed by a global investment firm with more than $70B in assets under management. We have partnered with a Major League Baseball team and a Premier League club, and our mission is to put this capability into the hands of sports organizations worldwide, from championship rosters to academies developing the next generation. We are building at the intersection of AI, medical imaging, and sports, and this role is one of the first on our engineering team. You will work alongside a Machine Learning Engineer and a Full-stack Engineer, with shared versioned contracts defining the seams between systems. The compensation range is $150,000 to $180,000 per year, with dental and health insurance, and the work location is hybrid remote in Cambridge, MA 02142.
last updated 39 week of 2026