Senior Application Developer – Industrial Voice AI & Edge Applications

Cerence•Montreal, QC

14d•$107,000 - $172,600•Hybrid

About The Position

Frontline workers increasingly rely on intelligent, speech-enabled applications to access information, complete tasks, and interact with industrial systems. Cerence is bringing Voice AI and Embedded AI to tablets, industrial devices, HMIs, and operator interfaces across manufacturing environments. The Senior Application Developer will build intelligent applications used directly by frontline workers and manufacturing operators. You will integrate Cerence SDK technologies, embedded Small Language Models (SLMs), speech interfaces, and enterprise workflows into tablets, rugged mobile devices, industrial HMIs, control panels, and other connected devices used across factory environments.

Requirements

5+ years of experience building production-grade embedded or edge applications for Android, iOS, tablets, ruggedized devices, industrial HMIs, or other connected devices used in operational environments.
Experience developing and deploying applications on Android, iOS, or equivalent embedded device platforms.
Experience integrating SDKs, middleware, APIs, and device-level capabilities.
Hands-on experience with Speech-to-Text, Text-to-Speech, Voice Assistants, or Conversational AI applications.
Experience deploying embedded AI, Small Language Models (SLMs), and on-device inference.
Strong proficiency in Kotlin, Java, C++, Swift, or similar technologies.
Experience building connected and offline-capable applications.
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Embedded Systems, Electronics Engineering, Industrial Automation, or a related engineering discipline.
Equivalent practical experience developing edge and embedded applications will also be considered.

Nice To Haves

Deep Android platform expertise including hardware integration, background services, device management, and performance optimization.
Industry 4.0 concepts including connected worker solutions, smart manufacturing, digital work instructions, digital twins, and predictive maintenance workflows.
Manufacturing, warehousing, logistics, maintenance, field service, or EHS applications.
OPC UA, MQTT, SCADA integrations, and industrial APIs.
LLMs, RAG, AI Copilots, Agentic AI systems, and multimodal AI.
Audio engineering including wake-word detection, Acoustic Echo Cancellation (AEC), beamforming, and microphone arrays.

Responsibilities

Build applications used directly on factory floors and industrial environments.
Integrate Cerence SDK and speech technologies into edge devices and operator workflows.
Enable voice-driven maintenance, troubleshooting, quality, safety, and productivity use cases.
Deliver embedded AI experiences using on-device SLMs and Edge AI technologies.
Create intuitive user experiences that improve frontline worker efficiency and operational visibility.
Build and maintain applications running on Android tablets, iOS devices, rugged handhelds, industrial HMIs, operator terminals, and other edge devices.
Integrate Cerence SDK technologies and develop middleware enabling STT, TTS, NLU, and voice-driven workflows.
Build applications supporting maintenance, inspection reporting, troubleshooting, safety, quality, warehousing, and field service activities.
Develop interfaces for operator assistance, machine interactions, digital work instructions, and process monitoring.
Deploy and optimize embedded SLMs and AI capabilities for low-latency, offline-capable experiences.
Connect applications with MES, ERP, PLM, Digital Twins, and industrial data services.