Jobs at Cerence Inc.

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

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

Support talent acquisition (post jobs, screen resumes, coordinate interviews, manage university relations), assist onboarding and maintain employee data in Workday, provide HR administrative support, and help execute employee engagement initiatives while upholding data privacy.

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.

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

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.

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.

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

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

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

Research, design, and train large-scale transformer and hybrid foundation models. Diagnose training instabilities, optimize scaling tradeoffs, define next-gen architectures, develop loss and alignment strategies (RLHF/DPO/GRPO), and lead distributed training (FSDP, ZeRO-3, tensor/pipeline parallelism) with mixed precision and gradient checkpointing while partnering with ML systems teams.

The Principal AI Scientist will develop customized LLM solutions, enhance existing models, and incorporate new AI techniques. Required to collaborate with teams and optimize performance for generative AI applications.

The Senior Software Developer will develop and optimize Android-based speech framework software, collaborate with teams to improve performance, and implement customer-specific interfaces.

Translate research prototypes into production-grade software, collaborate with R&D, implement CI/CD, perform automated, stability and performance testing, resolve merge conflicts, optimize codebase, apply agentic programming, and maintain release notes and technical documentation while ensuring coding standards and basic ML/ONNX optimizations.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Drive architecture choices (attention variants, MoE), optimize training stability and optimizers, validate scaling laws and compute/data tradeoffs, design loss and alignment strategies (RLHF, DPO, contrastive), and execute distributed training (FSDP, ZeRO-3, tensor/pipeline parallelism) with mixed precision and checkpointing while partnering with ML systems teams.

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.

Lead and oversee end-to-end software engineering for product/platform domains. Manage distributed teams, drive architecture, delivery roadmaps, quality, security, and cross-functional alignment while developing leadership and operational excellence.

The Senior Software Engineer - Android will analyze requirements, implement speech dialog interfaces, and collaborate with teams to enhance performance in Android applications.

Design and implement intuitive UX and dialog flows for automotive voice assistants. Analyze customer requirements, coordinate language rollouts, test and evaluate dialog behavior and performance, and conduct UX validation. Collaborate with customers and cross-functional teams to ensure high-quality user experiences across embedded platforms.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Own architecture choices, diagnose large-scale training instabilities, optimize scaling tradeoffs (data, compute, model), design loss and alignment strategies, and execute distributed training (FSDP/ZeRO, tensor/pipeline parallelism) with mixed precision to build in-house foundation model expertise.