Senior Mobile Developer / Engineer (Android) [J223]

• Own end-to-end development of a companion mobile app that interfaces with Ray-Ban Meta smart glasses via Meta's Glasses SDK.
• Implement reliable camera and audio streaming pipelines with strict attention to latency, battery efficiency, and privacy (camera LED, permissions).
• Build voice-first UX flows: wakeword detection, push-to-talk, VAD/ASR/TTS, earcons, and low-latency audio playback on open-ear speakers.
• Integrate on-device ML (Core ML, MediaPipe, ONNX Runtime, NNAPI) with cloud based multimodal AI (e.g., Llama 3 vision/voice) via streaming APIs.
• Manage transport/connectivity: Bluetooth LE control channels, Wi-Fi/Wi-Fi Direct media streaming, reconnect logic, pairing flows, and session lifecycle state machines.
• Design resilient pipelines with observability, retries, offline fallback, and graceful degradation under thermal, bandwidth, or permissions constraints.
• Collaborate with product/design to invent new voice-first interaction patterns; run user tests; track metrics (latency, accuracy, task completion).
• Establish mobile CI/CD pipelines, automated testing (unit/integration/device-in-the-loop), crash/error analytics, and release processes.
• Champion privacy-by-design and ensure compliance with platform and bystander safety policies.

Do you have experience in iOS?, Do you have a Master's degree?, * 5+ years professional mobile engineering experience, shipping native apps at scale on iOS or Android (both strongly preferred).

• Deep proficiency in:

iOS: Swift, SwiftUI/UIKit, AVFoundation, CoreBluetooth, CoreMotion, background modes, concurrency (GCD/Async/Await), audio units. Android: Kotlin, Jetpack Compose/Views, Bluetooth/BLE, Camera/Media, Foreground Services, Coroutines/Flow.

• Strong experience with real-time media pipelines (audio/video capture/playback, echo cancellation, noise suppression, lip-sync, latency budgeting).
• Networking and systems skills: state machines, threading, buffering, backpressure, power/thermal profiling, and debugging on constrained devices.
• Experience integrating cloud AI services (LLM/ASR/TTS) and handling streaming inference results in the mobile UI.
• Product sense for voice-first UX and accessibility in eyes-up, hands-free contexts.
• Strong communication skills; comfortable with early SDKs and evolving requirements.

Preferred Qualifications

• Experience with Meta's Glasses SDK (Ray-Ban Meta) or similar wearables (Apple Watch/visionOS audio, Snap Spectacles, Bose Frames).
• On-device ML expertise: Core ML, Metal, Accelerate (iOS), MediaPipe, TFLite, NNAPI, GPU delegates (Android), ONNX Runtime Mobile.
• Multimodal AI integration: Llama-family models, Whisper/Seamless/ASR, TTS providers, streaming inference UX.
• BLE expertise: GATT design, throughput tuning, Wi-Fi coexistence, provisioning, firmware update flows.
• WebRTC for low-latency A/V: adaptive bitrate, jitter buffers, AEC/VAD tuning.
• Backend familiarity (Python/Node.js): inference gateways (FastAPI/Express), WebSocket servers, token streaming.
• Deploying model servers (Triton, vLLM), vector/RAG stacks (FAISS/Pinecone), observability (OpenTelemetry), autoscaling (AWS/GCP/Azure).
• Security & privacy: keychain/keystore, secure BLE pairing, PII handling, consent UX, regional data controls.
• Hardware-in-the-loop QA: automated tests for glasses events (connect, capture, LED state, battery, IMU), performance tests for end-to-end latency.

• Attractive salary
• Large freedom and real influence
• No unhealthy competition, team approach to meeting challenges
• Remote-first, flexible working culture
• Company apartments in cool cities across Europe: work and enjoy a memorable getaway

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions - always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.