The Business Development Partner will drive revenue growth by managing direct customer opportunities and expanding the distributor and channel partner network. This role involves leading the entire sales lifecycle, from discovery and proposal development to negotiation and deal closure.
Design and operate distributed training systems for large neural networks across GPU clusters to maximize throughput and utilization. Partner with research and applied ML teams to productionize large-model training pipelines while ensuring stability and fault tolerance.
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.
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.
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.
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.
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.
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.
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.
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.
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.
