Jobs at Cerence Inc.

Develop and release production-ready software by translating research prototypes into scalable solutions. Responsibilities include collaborating with R&D, automated stability and performance testing, agentic programming, CI/CD pipeline development, Git conflict resolution, code optimization, release documentation, and maintaining technical architecture documentation. The role also requires applying C/C++, Java, Python, deep learning, LLM, and ONNX knowledge to automotive AI voice technology.

Develop and maintain Python-based speech output tools, DevOps workflows, and CI/CD pipelines using Jenkins and GitLab. Analyze pipeline failures, improve tool performance, and support Docker and Kubernetes environments. Contribute to AI and MLOps initiatives involving speech and language model deployment, monitoring, and new product prototypes. The role also offers opportunities to work with Azure AI services, cloud-hosted machine learning, and generative AI tools.

Lead enterprise sales for automotive dealer groups, owning the full sales cycle from pipeline development through close. Build relationships with dealer principals and operational leaders, conduct high-value discovery, lead pricing and contract negotiations, support demos and pilots, and convert pilots to paid customers. The role focuses on multi-rooftop deals, pipeline quality, revenue per deal, conversion rates, and representing Cerence at industry events. Approximately 30% travel to customer sites is required.

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 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.

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.

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.

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 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.

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.