A Moving Experience.

We are seeking a highly skilled and motivated Embedded Software Engineer with expertise in ML (with preference for LLM experience) to join our dynamic team at Cerence. As an Embedded LLM AI Engineer you will play a pivotal role in designing, developing, and optimizing LLM algorithms tailored for embedded systems used in automotive environments. 

But that's not all! As a Cerence team member, you'll also:   

• Collaborate with cross-functional teams to integrate LLMs and ML algorithms into Cerence's automotive software solutions. 
• Ensure seamless integration and compatibility with existing automotive systems, working closely with software engineers, hardware engineers, and automotive OEMs. 
• Conduct thorough testing and validation of LLM and ML algorithms to ensure high performance, reliability, and robustness in real-world automotive environments. 
• Develop test suites, and conduct unit tests, integration tests, and validation tests on hardware prototypes or actual vehicles.
• Stay updated with the latest advancements in LLM and ML technologies and contribute to research and innovation efforts within the company.
• Explore new algorithms, techniques, and tools to improve the performance, efficiency, and capabilities of LLM and ML solutions for automotive applications. 

Who you are: 

• Master's degree in Computer Science/Engineering, Artificial Intelligence or related field. 
• Deep understanding of machine learning algorithms and techniques, with practical experience in developing and optimizing LLM models.
• Proven experience in software development using embedded machine learning hardware accelerators (NPU, GPU).
• Strong embedded programming skills (C/C++) and experience with embedded development tools and 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. 
• Familiarity with automotive software development processes, standards, and protocols is a plus.

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. 

EQUAL OPPORTUNITY EMPLOYER

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.