Teams at Cerence Inc.

Develop and release production-ready software by translating research prototypes into scalable solutions. Responsibilities include collaborating with R&D, automated stability and performance testing, agentic programming, CI/CD pipeline development, Git conflict resolution, code optimization, release documentation, and maintaining technical architecture documentation. The role also requires applying C/C++, Java, Python, deep learning, LLM, and ONNX knowledge to automotive AI voice technology.

Develop and maintain Python-based speech output tools, DevOps workflows, and CI/CD pipelines using Jenkins and GitLab. Analyze pipeline failures, improve tool performance, and support Docker and Kubernetes environments. Contribute to AI and MLOps initiatives involving speech and language model deployment, monitoring, and new product prototypes. The role also offers opportunities to work with Azure AI services, cloud-hosted machine learning, and generative AI tools.

This role involves managing software requirements, tracking defects, customising processes, and ensuring effective communication within project teams.