Jobs at Cerence Inc.

The Principal Software Engineer will analyze product requirements, integrate voice recognition tech, develop unit tests, optimize performance, and create technical documentation.

The Senior TTS Research Engineer will optimize TTS algorithms, integrate components, maintain SDKs, improve automation testing, and document processes. Requires expertise in TTS systems and programming.

The Senior Software Engineer will develop system integrations for voice interaction, optimize performance, and coordinate with LLM teams for automotive solutions.

Develop speech dialog system applications for Android, implement VUI/GUI, ensure app performance, collaborate on features, fix bugs, and maintain code quality.

The Principal ASR Engineer will develop and enhance ASR systems with a focus on Japanese language, utilizing data for training and testing while collaborating with teams to optimize performance.

Lead and optimize global legal operations including process improvement, budget and outside counsel management, IP portfolio support, SEC filing and board governance coordination, contract lifecycle and compliance oversight, and execution of strategic legal projects and system implementations. Partner with Legal leadership and cross-functional teams to establish KPIs, drive cost efficiency, and scale legal services globally.

Develop and maintain Python-based speech output tools and CI/CD pipelines (Jenkins, GitLab). Implement DevOps (Docker, Kubernetes), troubleshoot pipeline failures, add features, and support AI/MLOps for deploying and monitoring TTS, speech and language models; contribute to AI product POCs.

Lead migration of applications into Intune Company Portal, define onboarding standards, and maintain app lifecycle. Administer and improve M365 services (SharePoint/OneDrive) and tenant governance. Provide Tier 2/3 support, document fixes, and support Entra ID identity and SSO, plus Azure administration for endpoints. Drive service improvements and collaborate with global teams.

The Research Scientist will drive R&D in speech recognition and NLP techniques, optimize ASR systems, and mentor junior researchers.

The role involves developing data pipelines, text processing, scraping web content, and maintaining data integrity for speech recognition and NLU systems.

The Sr NLU Research Engineer will develop NLU technologies, communicate market-specific requirements, and work with Large Language Models, focusing on automotive applications.

The Sr. Principal TTS Researcher will develop TTS systems, utilizing expertise in frontend/backend components, machine learning, and NLP while leading cross-functional teams.

Design and implement advanced generative AI models, optimize deployment in production, collaborate with teams, and stay updated on AI advancements.

Lead design, implementation, testing, and maintenance of Cerence AI Cloud Services. Develop Python/Java features and modules, own major components, perform design/code reviews, collaborate with DevOps for cloud deployment, follow CI/CD and Agile practices, and ensure product security and quality while working with distributed/global teams.

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

Develop speech dialog systems for Android, ensure performance and quality, collaborate on features, port systems, and maintain code quality.

The Senior Quality Assurance Engineer will enhance test automation, analyze test results, develop QA strategies, and support bug analysis for automotive software.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Looking for a Senior AI Research Scientist to finetune LLMs, create conversational workflows, and innovate methods for faster inference.

Lead and develop a global end-user services team, own service performance (KPIs/SLA/CSAT), manage service desk/MSP relationships, device lifecycle and onboarding/offboarding, administer unified communications and endpoint engineering (Intune/Lansweeper, EDR), plan and deliver projects, manage budgets/licensing, and drive security/compliance and continuous improvement.