Cerence Inc.

• Participate in building and training conversational AI platform using large language models • Collaborate with ML systems teams while retaining architectural ownership • Engage in deep learning and transformer foundations related work

• Own the end-to-end application architecture for humanoid robots. • Define reusable software platforms spanning robotics, AI, voice, cloud, and edge systems. • Lead technical decisions involving robotics frameworks, operating systems, SDKs, AI infrastructure, and deployment architectures. • Guide proof-of-concepts into production-ready customer deployments. • Collaborate with robotics OEMs, technology partners, and cross-functional engineering teams.

• Design and train large scale transformer and hybrid foundation models • Own model architecture choices across text, multimodal, and emerging paradigms • Diagnose and resolve training instabilities at scale • Navigate scaling tradeoffs across data and compute • Apply strong fundamentals in deep learning and representation learning • Build models from first principles, not just adapt pre-existing codebases • Own optimiser and scheduler choices, including AdamW, Lion, Adafactor • Design and experiment with loss functions including next-token prediction and contrastive objectives • Design and execute large-scale training using FSDP, ZeRO-3, Tensor parallelism, Pipeline parallelism • Apply mixed precision (bf16, fp8) and gradient checkpointing

• Conduct experiments and develop small applications that will help you to translate theoretical concepts into practical applications in a professional environment. • Expected to engage with your colleagues, supervisors, and support team to progress in your assigned projects and meet delivery deadlines and goals. • Expected to take initiative, seek out new challenges, and contribute towards the team’s success. • Expected to take ownership of your assigned development tasks, document them, and present to the team. • Establish clear communication channels with your supervisor and feel comfortable seeking guidance in order to ensure you are aware of expectations.

• Design and train large-scale transformer and hybrid foundation models • Own model architecture choices across text, multimodal, and emerging paradigms • Diagnose and resolve training instabilities at scale • Navigate scaling tradeoffs across data, compute, and architecture • Define the technical direction for next-generation models • Apply strong fundamentals in deep learning and representation learning • Design and modify transformer architectures, including: Attention variants, RoPE, ALiBi, Grouped Query Attention (GQA), Mixture-of-Experts (MoE) • Build models from first principles, not just adapt pre-existing codebases • Own optimizer and scheduler choices, including: AdamW, Lion, Adafactor • Understand and debug optimizer instability, gradient pathologies, divergence at large scale • Validate scaling laws and navigate compute vs. data tradeoffs

Role Description Interested in having a significant impact in a dynamic industry with a high-performing global team? We’re looking for an exceptional Senior IT System Engineer who is ready to drive the future of mobility with us! - Be a leader on a software development and system administration/devops team, working with team members around the world to deliver world-class solutions to our internal and external teams. - Significant hands-on experience with distributed system and HPC environment. - Experience with newest hardware for computation, training and storage. - Experience running small projects and capable of driving feature requests and bugs to closure. Must be able to work independently when necessary. - Participate in code/sprint reviews and assist team peers. - 24/7 on-call as needed for emergencies and customer release windows. - Strong proficiency in Linux and batch/shell scripting. - Hands-on experience with the Slurm workload manager, scalable storage solutions, and troubleshooting server/hardware issues. - Proficiency in at least one high-level programming language (e.g., Python, Go, Java). - Experience with container development and orchestration (e.g., Kubernetes, Docker) and source control systems like Git and SVN. - Solid knowledge of HTTP protocols, Linux networking, and developing scalable solutions. - Familiarity with collaboration and project management tools, such as Jira and Confluence. - Knowledge of security compliance, databases, and monitoring tools is a plus. Qualifications - Bachelor’s degree in computer science, Information Technology, or a related field. - 5+ years of experience as a Systems Administrator or similar role. - 3+ years of experience in High-Performance Computing (HPC) within data center environments. - Flexible, adaptable learner who can quickly support both cloud and on-premises solutions. - Effective mentor for less experienced team members, fostering growth and teamwork. - Willing to work flexible or rotating shifts as required. - Strong communication skills in English. Requirements - Annual bonus opportunity. - Insurance coverage. - Paid time off. - Paid holidays. - Equity-based awards for some positions and levels. - Remote and/or hybrid work available depending on position. Company Description Cerence Inc. (Nasdaq: CRNC) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space. - Working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. - Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages. - As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars.

• Lead seller responsible for acquiring dealer groups and closing multi-rooftop deals • Close enterprise/group deals (multi-rooftop) • Run high-value discovery conversations • Lead pricing + negotiation • Support key demos and pilots • Own full sales cycle from pipeline to close • Build and manage relationships with dealer principals, GMs, and service heads • Lead discovery on dealer operational pain points (BDC, service, call handling) • Drive pilot to paid conversion • Negotiate commercial terms and contracts • Represent Cerence at events and industry forums

• Engage senior technical decision-makers at robotics companies building the next generation of physical AI in mobile and service robotics, from startups to mid-sized players to established names. • Own the technical core of every opportunity: understand how our voice solution runs on the customer’s hardware, design how it fits, and work through the hard questions that keep a deal moving. • Clear the technical roadblocks between interest and a signed deal, turning evaluations into commitments. • Work hand in hand with sales, product, and professional services, translating what you learn in the field into how we sell, deliver, and build. • Shape the product itself, feeding real customer hardware and conditions back into what we build next.

• Engage senior decision-makers at robotics companies building the next generation of physical AI in mobile and service robotics • Qualify, size, and close opportunities, leveraging the company’s technical, commercial, and partnership resources to increase win rates and accelerate deal closure • Bring the experience and judgment to prioritize opportunities with the greatest commercial potential • Drive partnerships and deals from first contact through to close, owning the full deal cycle • Operate as a standalone commercial engine inside a small, entrepreneurial team, with enough technical fluency to hold your own on how robotics works

• Optimize the core NN algorithms to speed up inference and generation • Integrate different TTS components into a flexible pipeline that is suitable to “one engine for many (30+) languages” • Implement markups to control the TTS engine is optimized for different languages, features and applications • Design, implement and maintain the emb SDK for different platforms and cloud APIs • Build up the automation test and release process to ensure the KPIs such as latency and RTF • Work as a maintainer on the codes from RD engineers • Write well structed release notes, SDK and API documents