Search the 29 jobs at Cerence Inc.

As a Senior Python Developer at Cerence, you will design, develop, and deploy innovative AI-based software solutions. You will collaborate with cross-functional teams, write clean code, optimize algorithms, and mentor junior developers, all while pushing the boundaries of AI technology.

The Senior Research Engineer will develop and implement Automatic Speech Recognition (ASR) models for automotive voice assistants. Responsibilities include training and optimizing Large Language Models (LLMs), collaborating with AI teams, integrating LLM capabilities, and keeping up with advancements in AI and NLP technologies.

As a Senior IT System Engineer, you will lead a software development and system administration/devops team, manage distributed systems, troubleshoot hardware issues, and drive feature requests. You will work independently on project execution, participate in code reviews, and provide 24/7 on-call support as needed.

The Senior AI Engineer will integrate LLMs and ML algorithms into automotive software, ensuring compatibility with existing systems, conducting tests, and contributing to research in AI innovations. This role emphasizes collaboration across teams, test development, and application of machine learning techniques to enhance automotive user experiences.

As a Senior QA Analyst at Cerence, you'll lead a talented QA team to ensure the quality of cutting-edge AI technologies. This role involves designing and implementing test strategies, performing performance testing, collaborating with cross-functional teams, and mentoring QA professionals to achieve excellence in testing methodologies.

The Senior Research Engineer will develop and implement Automatic Speech Recognition models for automotive applications, focusing on transitioning AI models from research to product and optimizing GPU performance for Text-to-Speech systems. They will collaborate with cross-functional teams and address performance bottlenecks through optimization techniques.

The Senior Android Developer at Cerence will leverage expertise in Android and AI to innovate smart solutions for automotive applications. Key responsibilities include software integration, backend development, performance optimization, mentoring junior developers, and participating in industry conferences.

The Principal Research Developer, LLM will architect, design, and implement generative AI models for various applications such as dialog systems and search functions. This role involves optimizing large language models for performance, collaborating with interdisciplinary teams, staying updated with AI advancements, and enhancing existing models to ensure excellence in user experience and responsiveness.

Design and optimize machine learning algorithms for embedded automotive systems, collaborate on integration with software, and perform testing and validation on prototypes, ensuring high performance in real-world scenarios.

The Senior Android Developer will leverage expertise in Android and backend integration to enhance AI-driven user experiences in vehicles. Responsibilities include optimizing code performance, mentoring junior developers, and collaborating across teams.

As a Senior DevOps Engineer, you will implement new cloud features, maintain compliance with product infrastructure, manage and monitor Kubernetes deployments, and handle customer inquiries related to network operations. You will collaborate with team members and enhance the development process while ensuring the security of features in products.

As a Senior Python Developer at Cerence, you will lead the development of innovative AI-based software solutions, collaborating with cross-functional teams, writing clean and maintainable code, and providing mentorship to junior developers.

The Global EH&S Manager at Cerence will develop and implement HS&E policies and programs, ensuring compliance with international regulations. They will lead training initiatives, identify risks, oversee investigations, and collaborate on sustainability goals across the company's global operations.

As a Principal Python Software Developer, you will collaborate with cross-functional teams to translate business needs into technical specifications, develop robust AI-based software solutions, and mentor junior developers while optimizing existing algorithms for better performance.

As a Senior Product Designer at Cerence, you will design innovative interfaces for voice assistant products, collaborating with UX designers and developers. Your role involves creating prototypes, applying best practices in UX/UI, and enhancing user experiences through effective teamwork and user empathy.

The Senior Software Developer in Test will collaborate with cross-functional teams to develop and maintain test plans for AI-driven solutions. Key responsibilities include writing test scripts in Python, utilizing modern tools like Docker and Kubernetes, contributing to AI technology development, and mentoring junior QA team members.

The Principal Project Manager will take accountability for project planning and execution, coordinate technical project execution across international teams, maintain relationships with customers, provide internal project status reports, and contribute insights on technology agendas based on customer trends.

As a Senior Software Engineer - Cloud, you will design and implement scalable LLM applications, lead system architecture decisions, collaborate with cross-functional teams, mentor junior engineers, and optimize cloud-hosted solutions. You will contribute to feature development, addressing technical challenges and staying updated on advancements in AI and cloud technology.

The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.

The Senior AI Researcher will architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications. Responsibilities include training and optimizing LLMs, collaborating with cross-functional teams, and staying updated on advancements in generative AI. A strong focus on problem-solving and collaboration in a fast-paced environment is essential.