Do you have a passion for pushing the boundaries of innovation? Are you excited about AI’s potential to improve the human experience? Then come join the ride!
Who is Cerence?
Cerence is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike.
Our Driving Force
Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth.
Interested in having a significant impact in a dynamic industry with a high-performing global team? We’re looking for an exceptional Principal Software Developer, LLM who is ready to drive the future of mobility with us!
Your Impact
Lead a team of software developers in the design, development, and implementation of large language models (LLMs) for Cerence's software products.
Collaborate with cross-functional teams, including AI researchers, product managers, and engineers, to define requirements and specifications for LLM-based features and functionalities.
Develop and optimize algorithms and techniques for training and fine-tuning large language models, with a focus on accuracy, efficiency, and scalability.
Design and implement software components and modules to integrate LLM capabilities into Cerence's speech recognition and natural language understanding systems.
Conduct thorough testing and validation of LLM-based features to ensure high performance, reliability, and robustness in real-world automotive environments.
Stay updated with the latest advancements in AI and natural language processing (NLP) technologies, and contribute to research and innovation efforts within the company.
Provide technical leadership, mentorship, and guidance to team members, fostering a culture of collaboration, innovation, and continuous learning.
What You Bring
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
Proven experience in software development, with a focus on AI, machine learning, and natural language processing.
Strong proficiency in programming languages such as Python, C/C++, and experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
Solid understanding of large language models (LLMs), deep learning architectures, and NLP techniques.
Experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments.
Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment.
Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
What we offer
We offer a generous compensation and benefits package (in addition to the base salary), including:
Annual bonus opportunity
Insurance coverage (medical, dental, vision, life, and disability)
Paid time off
Paid holidays
Company contribution to the RRSP (Registered Retirement Savings Plan)
Equity awards for certain positions and levels
Remote and/or hybrid work available depending on the position
All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.
Cerence Inc. (Nasdaq: CRNC and www.cerence.com) 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. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.
All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:
- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.
- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
- Demonstrative knowledge of information security through internal training programs.
