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About the Role
We are looking for an iOS engineer who loves the camera. Our app turns an iPhone on a microscope into a lab instrument, and the hard problems live on the device: holding focus on a moving sample, running computer vision in real time, and capturing a recording precise enough for a clinical result. The app must be simple enough for a technician in a busy lab. You will own the app end to end, together with the founders.
Responsibilities
- Own the app end to end, from architecture to release.
- Push the iPhone camera and on-device models to their limits, so every recording is good enough to analyse.
- Design the capture workflow with lab staff, so technicians get it right the first time.
- Spend time in the lab, measure what works, and decide what to build next.
Requirements
- Built on the iOS camera stack: AVFoundation with manual focus, exposure and white balance, and real-time frame processing.
- Experience running models on the phone and making them fast: Core ML and Vision, quantisation, the Neural Engine, profiling with Instruments.
- Shipped iOS apps in Swift and SwiftUI and owned them in production.
- Designed an architecture one engineer can carry, and can explain the trade-offs.
- Turn a messy real-world workflow into something simple, and test it with users.
- Built for real conditions: Offline-first, background uploads, interruptions, data protection.
- Read the backend and change an API when needed.
- Validate with numbers, not by eye; tests are part of the feature.
- Reproduce bugs first and fix the cause, not the symptom.
- Use coding agents as part of daily work, give them good context, split work into reviewable steps, and stand behind every line shipped.
- Help shape the roadmap, push back on weak ideas, set own priorities and raise problems early.
- Worked across several companies, stacks or environments.
Skills
- iOS camera stack
- AVFoundation
- Manual focus
- Exposure
- White balance
- Real-time frame processing
- On-device ML
- Core ML
- Vision
- Quantisation
- Neural Engine
- Instruments
- Swift
- SwiftUI
- Architecture design
- Product sense
- UX sense
- Offline-first
- Background uploads
- Data protection
- Backend interaction
- API changes
- Testing
- Bug fixing
- AI-native engineering
- Coding agents
- Roadmap shaping
- Prioritization
- Problem raising
Location
- Berlin
Work Type
- Hybrid
Experience Level
- Founding engineer
Salary/Compensations
- Competitive salary
Benefits
- Virtual share option plan (VSOP)
- Role growth opportunities
- Influence on software building and engineering team shaping
- Flexible hours
- Office days
- EU Blue Card sponsorship
About the Company
- Most labs still count cells under a microscope by hand. It's slow, repetitive, and error-prone. We're replacing that manual work with software.
- By combining a standard microscope with a smartphone, we run computer vision models that locate, track, and measure cells automatically in real time.
- We're starting with semen analysis and expanding to other routine microscopic samples.
- We're a small, well-funded team in Berlin, founded in 2026.
- Our goal is to make automated, reliable diagnostic analysis accessible on any phone connected to a microscope.