Jobs at Cerence Inc.

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 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.

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.

The Principal Software Quality Assurance Engineer will design and implement scalable QA automation frameworks, leading automation strategy, mentoring engineers, and enhancing QA maturity while collaborating with cross-functional teams.

Lead development and optimization of high-performance LLM inference pipelines across data center, edge, and embedded platforms. Improve latency and throughput via custom CUDA kernels, quantization, KV-cache and batching strategies, and deploy efficient, production-ready runtimes without external vendor dependency.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

Own end-to-end software architecture for humanoid robot applications, design modular, production-ready platforms integrating robotics frameworks, AI, cloud/edge, and hardware constraints; lead technical decisions, guide POCs to deployments, and mentor a small engineering team.

Lead technical engagements with robotics customers to design and integrate voice AI into mobile robots, own POCs and technical evaluations, clear deployment roadblocks, collaborate with sales/product/services, and feed customer learnings into the product. Travel across Europe for onsite evaluations (20–30%).

Customer-facing sales role responsible for owning direct opportunities and managing channel/distributor relationships to drive revenue. Duties include discovery, proposals, demos, negotiation, pipeline management, partner enablement, co-selling, event representation, and cross-functional coordination to support go-to-market and product launches. Targets include bookings, distributor-sourced pipeline growth, and executing partner workshops.

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.

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.

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

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.

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.