Senior Android Engineer

Every day, patients recovering from stroke open our app to do their therapy. They count on it being fast, accurate, and smooth — in a clinic waiting room, at home, sometimes with only one working hand.

nyra health builds the digital solutions that make neurological rehabilitation work outside clinic walls: myReha, the patient therapy app, and nyra insights, the clinician platform. 100+ clinics across DACH rely on both. We've raised €20M Series A and are scaling our team.

nyra's Android app is the primary interface between patients and their recovery. It runs ML-powered speech feedback in real time, serves hundreds of therapy exercises, and must stay rock-solid across clinic tablets from 2018 and the latest Pixels. You'll join a small, strong Android team with real ownership and a direct impact on the product.

What you'll work on

• The therapy experience, end-to-end — you own the Android surface patients open every day as part of their recovery. Speech exercises, cognitive tasks, multimedia flows — you set the bar for how they feel, how fast they are, and how they grow.

• ML in production — you're the bridge between our ML team's models and the patient's moment of use. You shape how speech feedback surfaces in the UI — latency, confidence, fallback states — so it feels instant and trustworthy.

• Device performance — you own the performance envelope across older clinic tablets and modern phones: startup time, memory, jank, offline resilience.

• Accessible product craft — partner with Product and Design on UI for users with partial mobility and cognitive load constraints

• Engineering standards that scale — as one of the senior engineers on the Android team, you shape how the codebase grows. Architecture decisions, code review culture, testing strategy — what you establish now compounds as the team does.

What sets you up

• Strong track record on a scaling production app — you know what breaks under growth and how to prevent it

• 5+ years of professional Android development in Kotlin

• Strong grasp of Jetpack Compose, Coroutines, Hilt/Dagger, and MVVM/MVI architecture

• Quality-focused engineering — smooth animations, responsive UIs, and craftsmanship even in a clinical context

• AI-native development — we use Claude Code, Cursor, and AI-generated tests as daily infrastructure, not occasionally — and you bring this experience.

• Comfortable working cross-functionally with Product, Design, QA, and backend

• HTL/Bachelor/Master's in CS or comparable hands-on experience

Nice to have: Firebase / NoSQL; multi-agent prompt chaining; performance profiling across device cohorts; offline-first sync strategies

You'll thrive here if…

• You think about the end user — a patient relearning to speak after stroke — and let that guide technical decisions

• Performance on constrained hardware is a problem you've solved before and enjoy solving

• You balance clean architecture with shipping value fast, and know when to favour each

• You want to be close to ML/AI work, not just consume it

Why nyra

Patients first, always — everything we build is measured by patient outcomes, not engagement metrics. You're shipping therapy, not features.

AI at the core — we integrate ML-powered speech recognition and therapy personalisation directly in the product. You'll work with the ML team, not just consume an API.

Direct access — founders, ML engineers, and practicing clinicians are in the same room. Decisions move fast and you're part of them.

AI-native culture — every engineer has Claude Pro and is expected to use AI tools daily. We're not experimenting; we've moved on.

What we offer

• Attractive compensation and Phantom Stock Options

• €2,500 tech set up budget

• Wiener Linien Yearly Ticket

• Swapfiets bike

• L&D budget

• Claude Pro + AI tools

• Flexible working hours and the possibility to work from home

• Beautiful office in Vienna's First District

The process

1. Intro call — background, motivations, role, and nyra ~30 min

2. Technical interview — walk us through a project you're proud of; we'll discuss implementation decisions, architecture, and what you'd change ~60 min

3. Founders' interview — your approach, technical philosophy, and how you'd shape neurotherapy on Android ~45 min