Senior TTS Research Engineer at Cerence

Ulm, Baden-Wurttemberg, Germany

Cerence Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, AIIndustries

Requirements

  • 3+ years of hands-on experience in TTS system development with deep expertise in both frontend and backend components
  • Proficiency in C/C++ and Python, with mastery of ML frameworks (PyTorch, TensorFlow, etc)
  • Some background in NLP techniques and/or speech signal processing is welcome
  • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders
  • Rich experience on software release, version control and branches maintenance
  • Experience with ONNX Runtime, TensorRT, or TorchScript, etc
  • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems
  • Fluent English is a must-have, especially on written English
  • Basic knowledge of information security and data privacy requirements

Responsibilities

  • 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 structured release notes, SDK and API documents
  • Follow workplace security protocols and training programs to maintain a safe workplace
  • Follow security procedures to report any suspicious activity
  • Adhere to company's compliance and regulations
  • Encourage zero tolerance for workplace violence

Skills

C++
Python
PyTorch
TensorFlow
TTS
NLP
Speech Signal Processing
ONNX Runtime
TensorRT
TorchScript
Voice Cloning
Neural Vocoders
ML Frameworks

Cerence

AI solutions for automotive in-car experiences

About Cerence

Cerence develops AI-powered solutions specifically for the automotive industry, focusing on improving the in-car experience for drivers and passengers. Their products include voice recognition systems and AI-driven assistants that enhance entertainment, connectivity, and safety while driving. Cerence collaborates with major automotive manufacturers to integrate these technologies into vehicles, such as the Mercedes Benz User Experience. Unlike many competitors, Cerence emphasizes a comprehensive approach that includes ongoing support and upgrades, ensuring their technology adapts to trends like smart cities and electric vehicles. The company's goal is to transform transportation and shape the future of mobility through innovative and user-friendly solutions.

Burlington, MassachusettsHeadquarters
2019Year Founded
$190MTotal Funding
IPOCompany Stage
Automotive & Transportation, AI & Machine LearningIndustries
1,001-5,000Employees

Risks

Increased competition from SoundHound threatens Cerence's market share.
Voice AI payments trend pressures Cerence to expand beyond automotive.
CEO Brian Krzanich's appointment may lead to disruptive strategic shifts.

Differentiation

Cerence specializes in AI-powered solutions for the automotive industry.
The company collaborates with industry leaders like Nuance and Daimler.
Cerence's solutions include voice recognition and AI-driven assistants.

Upsides

Cerence's partnership with Mapbox enhances voice-powered navigation for cars.
The introduction of CaLLM Edge positions Cerence as a leader in automotive AI.
Growing two-wheeler market offers expansion opportunities for Cerence Ride.

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