Own the end-to-end software architecture for humanoid robot applications, bridging AI, robotic operating systems, and physical hardware. Lead a startup development team to design scalable platforms and guide proof-of-concepts into production-ready deployments.
Cerence
17 Remote Job Openings at Cerence
Design and train large-scale transformer and hybrid foundation models for a conversational AI platform. This includes managing training stability, navigating scaling tradeoffs, and defining the technical direction for next-generation models.
Design and train large-scale transformer and hybrid foundation models across text and multimodal paradigms. Define technical direction for next-generation models while resolving training instabilities and navigating compute tradeoffs.
Design and train large-scale transformer and hybrid foundation models while owning architectural choices across text and multimodal paradigms. Define the technical direction for next-generation models and resolve training instabilities at scale.
The student worker will conduct experiments and develop small applications to translate theoretical concepts into practical AI solutions. They are expected to take ownership of development tasks, document their work, and collaborate with supervisors to meet project deadlines.
Lead a software development and system administration team to deliver HPC solutions for internal and external teams. Manage distributed systems, handle hardware for computation and storage, and provide 24/7 on-call support for emergencies.
Lead the acquisition of large dealer groups by closing multi-rooftop deals and managing the full sales cycle. Build strategic relationships with dealer principals and GMs while driving pilot programs to paid conversions.
Engage senior technical decision-makers at robotics companies to design and integrate voice AI solutions onto customer hardware. Collaborate with sales and product teams to clear technical roadblocks and translate field insights into product improvements.
Drive the full deal cycle by engaging senior decision-makers at robotics companies to qualify and close new business opportunities. Develop the commercial playbook for voice AI in mobile service robotics while operating as a standalone commercial engine.
Optimize and deploy high-performance LLM inference pipelines across data center, edge, and embedded platforms. Focus on improving latency and throughput through quantization, kernel fusion, and KV cache optimization.
Lead and optimize the operational, financial, and administrative infrastructure of the global Legal function. This includes managing legal spend, overseeing intellectual property assets, and supporting public company obligations such as SEC filings and Board governance.
Lead the migration and lifecycle management of company applications within the Intune Company Portal. Administer core M365 services, Entra ID identity needs, and provide Tier 2/3 support for escalated service requests.
The role involves finetuning LLMs using RL and SOTA methods to build conversational workflows and business logic. The scientist will also employ multimodal AI to enrich user experience and innovate methods for faster inference.
Collaborate with cross-functional teams to develop customized LLM solutions and enhance existing CaLLM for optimal performance. Stay updated on advancements in generative AI, ASR, and language modeling to improve system performance.
Architect, design, and implement state-of-the-art Generative AI models while optimizing them for performance on resource-constrained platforms. Collaborate with cross-functional teams to integrate LLMs and MLLMs into automotive voice assistant applications.
Architect, design, and implement state-of-the-art Generative AI models while collaborating with cross-functional teams. Innovate and enhance existing applications by integrating LLMs/MLLMs for optimal performance.
Architect, design, and implement state-of-the-art Generative AI models while collaborating with cross-functional teams to develop customized solutions. Innovate and enhance existing applications by integrating LLMs/MLLMs for optimal performance.
