Senior Mobile Engineer – iOS/Android
Primary stack
iOSSwiftAndroidKotlinAIJetpack ComposegRPC
Nice to have's
ONNX RuntimeAIPythonNode.jsWhisperExpress
Job description
About the Position
We’re hiring a Senior Mobile Engineer for iOS/Android to develop mobile apps for RayBan Meta smart glasses, focusing on voice-first UX and real-time AI integration.
Responsibilities
- Own end-to-end development of a companion mobile app that interfaces with RayBan Meta smart glasses via Meta’s Glasses SDK.
- Implement reliable capture and streaming pipelines for camera preview frames, stills, and multichannel audio, with strict attention to latency, battery, and privacy indicators (camera LED, permissions).
- Build voice-first UX: wake-word handoff, push-to-talk flows, VAD/ASR/TTS, earcons, and low-latency audio playback on open-ear speakers.
- Integrate on-phone computer vision and speech models (Core ML, MediaPipe, ONNX Runtime, NNAPI) and orchestrate cloud inference for multimodal LLMs (e.g., Llama 3-family vision/voice) via streaming APIs.
- Handle transport and connectivity: Bluetooth LE control channels, WiFi/WiFi Direct media streaming, reconnect logic, and state machines for device pairing and session lifecycles.
- Design resilient, observable pipelines with backpressure, retries, offline fallbacks, and graceful degradation when thermals, bandwidth, or permissions change.
- Collaborate with product/design on voice-first interaction patterns; run user tests; instrument metrics for latency, accuracy, and task completion.
- Establish mobile CI/CD, automated testing (unit/integration/BT device-in-the-loop), crash/error analytics, and release processes.
- Champion privacy-by-design and compliance with platform and bystander-safety policies.
Requirements
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Minimum qualifications:
- 5+ years professional mobile engineering experience, shipping native apps at scale on iOS or Android (preferably both).
- Deep proficiency in:
- iOS: Swift, SwiftUI/UIKit, AVFoundation, CoreBluetooth, CoreMotion, background modes, concurrency (GCD/AsyncAwait), audio units.
- Android: Kotlin, Jetpack Compose/Views, Bluetooth/BLE, Camera/Media, Foreground services, Coroutines/Flow.
- Hands-on with real-time media pipelines and streaming: audio capture/playback, echo cancellation, noise suppression, lipsync/latency budgeting, WebSockets/gRPC/WebRTC, codecs (Opus/AAC/PCM).
- Solid 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 UI.
- Strong product sense for voice-first UX and accessibility in eyes-up, hands-free contexts.
- Excellent communication; comfortable working with early/preview SDKs and ambiguous requirements.
-
Preferred qualifications:
- Prior work with Meta’s Glasses SDK (RayBan Meta) or similar wearables (Apple Watch/visionOS audio, Snap Spectacles, Bose Frames) – if you don’t have this experience, it is fine provided that you are willing to learn Meta Glasses SDK quickly.
- On-device ML on phone: Core ML/Metal/Accelerate (iOS), MediaPipe/TFLite/NNAPI/GPU delegates (Android), ONNX Runtime Mobile.
- Multimodal AI integration: experience with Llama-family models, Whisper/Seamless/other ASR, TTS providers, prompt and latency optimization, partial results/streaming UX.
- BLE expertise: GATT design, connection strategies, MTU/throughput tuning, coexistence with WiFi transport, device provisioning and firmware update flows.
- WebRTC for low-latency A/V; adaptive bitrate, jitter buffers, AEC/VAD tuning.
- Backend exposure sufficient to move fast with AI:
- Python or Node.js for inference gateways (FastAPI/Express), WebSocket servers, request fanout, token streaming.
- Deploying model servers (Triton, vLLM) and vector/RAG stacks (FAISS/Pinecone), observability (OpenTelemetry), and autoscaling on AWS/GCP/Azure.
- Security and privacy: keychain/keystore, secure BLE pairing, PII handling, consent UX, regional data controls.
- QA for hardware-in-the-loop: writing automated tests that exercise glasses events (connect, capture, LED state, battery, IMU), and performance tests for end-to-end latency.
We Offer
- Competitive salary
- Remote work options
About the Company
The Workly s.r.o.
4D CENTER, Kodaňská 1441/46,
101 00, Praha 10.
Contact: [email protected] + 420 775 371 991
©2023, All right reserved.
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