The Senior Software Engineer will transform research outcomes into production-ready software solutions while collaborating with R&D teams. Responsibilities include conducting automated testing, managing CI/CD pipelines, and maintaining technical documentation.
Cerence
22 Remote Job Openings at Cerence
The role involves managing the migration of applications into the Intune Company Portal and defining standards for application onboarding. Additionally, the engineer will administer core M365 services, including SharePoint and OneDrive, while providing Tier 2/3 support for identity and access needs.
The FinOps Engineer will manage and optimize cloud infrastructure spend across Azure, AWS, and GCP environments. They are responsible for building automated tools, maintaining data pipelines, and driving financial accountability through cost reporting and allocation.
Senior Application Developer – Industrial Voice AI & Edge Applications
Cerence
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Full Time
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5 days ago
Cerence
The Senior Application Developer will build and maintain intelligent, voice-enabled applications for frontline workers using Cerence SDK and embedded AI technologies. Responsibilities include integrating middleware, deploying on-device Small Language Models, and connecting applications with enterprise industrial data services.
Senior Application Developer – Industrial Voice AI & Edge Applications
Cerence
·
Full Time
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5 days ago
Cerence
The Senior Application Developer will build and maintain intelligent, voice-enabled applications for frontline workers using Cerence SDKs and embedded AI technologies. Responsibilities include integrating middleware for speech interfaces and connecting applications with enterprise industrial systems like MES and ERP.
The Senior Technical Solution Architect will lead the design and architecture of next-generation Industrial AI solutions integrating voice, AI, and digital twin technologies. This role involves bridging frontline worker processes with enterprise systems and operational technology environments to drive smart manufacturing innovation.
Drive the full deal cycle by engaging senior decision-makers at robotics companies to qualify and close new business opportunities. Develop the commercial playbook for voice AI in mobile service robotics and manage strategic partnerships.
Lead the technical strategy and execution for integrating voice AI solutions into mobile service robotics for various customers. Collaborate with sales and product teams to translate field insights into product improvements and clear technical roadblocks to secure deals.
Own the end-to-end software architecture for humanoid robot applications, bridging AI, robotic operating systems, and physical hardware. Lead technical decisions and supervise an agile development team to move proof-of-concepts into production-ready deployments.
Senior Solutions Architect – Manufacturing & Industrial Automation
Cerence
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Full Time
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11 days ago
Cerence
Lead the technical strategy and execution for Voice AI opportunities within the manufacturing and industrial automation sector. This includes designing hybrid edge/cloud architectures and managing technical evaluations and PoCs to convert interest into signed deals.
Senior Business Developer – Manufacturing & Industrial Automation
Cerence
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Full Time
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11 days ago
Cerence
Engage senior decision-makers across the manufacturing and industrial automation ecosystem to qualify and close complex partnership and customer deals. Drive the full sales cycle from first contact to closure, acting as a standalone commercial engine to establish a new market for agentic voice AI.
Principal Software Engineer – Robot Applications & Voice AI
Cerence
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Full Time
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13 days ago
Cerence
Drive the application and cognitive layer of humanoid robots by translating human intent into physical actions. Develop voice applications, agentic AI workflows, and multi-modal interaction systems to create intuitive human-robot experiences.
Design and train large-scale transformer and hybrid foundation models for a conversational AI platform. This includes managing training stability, navigating scaling tradeoffs, and defining the technical direction for next-generation models.
Design and train large-scale transformer and hybrid foundation models across text and multimodal paradigms. Define technical direction for next-generation models while resolving training instabilities and navigating compute tradeoffs.
Design and train large-scale transformer and hybrid foundation models while owning architectural choices across text and multimodal paradigms. Define the technical direction for next-generation models and resolve training instabilities at scale.
Lead a software development and system administration team to deliver HPC solutions for internal and external teams. Manage distributed systems, handle hardware for computation and storage, and provide 24/7 on-call support for emergencies.
Lead the acquisition of large dealer groups by closing multi-rooftop deals and managing the full sales cycle. Build strategic relationships with dealer principals and GMs while driving pilot programs to paid conversions.
Optimize and deploy high-performance LLM inference pipelines across data center, edge, and embedded platforms. Focus on improving latency and throughput through quantization, kernel fusion, and KV cache optimization.
Collaborate with cross-functional teams to develop customized LLM solutions and enhance existing CaLLM for optimal performance. Stay updated on advancements in generative AI, ASR, and language modeling to improve system performance.
Architect, design, and implement state-of-the-art Generative AI models while optimizing them for performance on resource-constrained platforms. Collaborate with cross-functional teams to integrate LLMs and MLLMs into automotive voice assistant applications.
Architect, design, and implement state-of-the-art Generative AI models while collaborating with cross-functional teams to develop customized solutions. Innovate and enhance existing applications by integrating LLMs/MLLMs for optimal performance.
Architect, design, and implement state-of-the-art Generative AI models while collaborating with cross-functional teams. Innovate and enhance existing applications by integrating LLMs/MLLMs for optimal performance.