Jobs at Cerence Inc.

Design, build, and operate distributed GPU training infrastructure for large neural networks. Optimize multi-node/multi-GPU execution, diagnose compute/memory/network bottlenecks, improve stability and fault tolerance, and partner with research teams to productionize large-model training pipelines for reliable, high-throughput training at scale.

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.

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.

Transform research prototypes into production-grade software, develop CI/CD pipelines, implement automated stability and performance tests, manage version control and merge conflicts, optimize code for scalability, write release notes and technical documentation, and ensure coding standards and security practices.

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.

Conduct applied research to develop, fine-tune, and deploy state-of-the-art speech recognition and conversational AI systems using LLMs, RAG, generative AI, and agentic frameworks. Design domain adaptation strategies, preprocess large multilingual speech datasets, collaborate with engineering teams to build scalable cloud-based pipelines, publish research, and mentor junior researchers.

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.

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.

Design, build, and maintain FinOps tooling, data pipelines, dashboards, and automation to improve cloud cost visibility, allocation, and optimization across Azure, AWS, and GCP. Support budgeting, variance analysis, anomaly detection, and executive reporting. Collaborate cross-functionally to implement tagging, chargeback/showback, governance, and AI-enabled automation while documenting operational processes for scalable FinOps practices.

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.

Lead a software development and system administration team, focusing on HPC environments, project management, and mentor junior team members while ensuring high-quality solutions and system performance.

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.

Integrate and deliver voice recognition software for automotive, collaborating with clients and internal teams, while setting up CI/CD environments and handling testing.

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

Lead and enhance the DevOps ecosystem, manage GitLab and JFrog Artifactory, oversee RBAC governance, and mentor teams in GitOps practices.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.