We are seeking a talented engineer to work on transitioning AI models from research to product-grade, integrating them into observable, GPU-optimized services for Text-to-Speech (TTS) applications.
The role involves productizing and optimizing GPU-accelerated speech AI algorithms such as TTS, voice cloning, and neural network-based vocoders. The candidate will identify and address performance bottlenecks, applying optimization techniques to enhance efficiency. Collaboration with cross-functional global teams is essential to introduce new product features and improve existing products.
Cerence Inc. (Nasdaq: CRNC, www.cerence.com) is a global leader in automotive voice AI solutions. Spun out from Nuance in October 2019, Cerence has quickly established itself as a pioneer in the automotive voice assistant industry, collaborating with leading automakers worldwide to transform the driving experience. With over 20 years of industry expertise and more than 500 million cars equipped with Cerence technology across 70+ languages, we are shaping the future of voice and AI in vehicles.
As Cerence continues its growth, we seek passionate individuals to help build the future of voice AI in cars. This is an exciting opportunity to be part of a dedicated, global team driving meaningful innovation in a rapidly evolving industry.
Cerence is committed to Equal Employment Opportunity (EEO) and complies with all applicable laws prohibiting employment discrimination based on age, race, gender, gender identity/expression, sex, pregnancy, national origin, religion, disability, marital status, citizenship, sexual orientation, veteran status, genetic information, and other protected classes.
All employees must adhere to workplace security policies, including: