Networking and communication dominate training time
Training jobs crash or become unstable at large scale
You will be explicitly focused oneliminatingthese failure modes.
Ideal Background
This role is a strong fit for individuals who have worked as:
ML Systems Engineer
Distributed Systems Engineer
AI Infrastructure Engineer
HPC Engineer transitioning into ML
Experience working with large language models or foundation models is a strong plus, but deep systemsexpertiseis valued over pure model architecture experience.
Why This Role Matters
Without robust distributed training infrastructure, progress on largemodelsstalls. This role directly enables:
Larger models Faster iteration cycles More reliable research-to-production pipelines You will be building the foundation that makeslarge‑scaleAI possible.
Cerence Inc. (Nasdaq: CRNC and ) 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.
