Software Developer/ Engineer/ Architect

Principal Engineer - R&D Speech and NLP

Description

XPERI 

At XPERI, we embrace your uniqueness. Bring your imagination and creativity to us and be a part of a technology company that brings sensory experiences to life; where you will unlock your true potential. 

DTS, a wholly owned subsidiary of XPERI Inc., is building a world class audio, speech and natural language processing (NLP) research group based in Galway. Our team’s technologies have been licensed by millions of devices worldwide, including cars, phones, laptops, TVs, AV equipment and sound-bars, headsets and gaming consoles. 

As part of the DTS research and development team, the successful candidate will gain significant experience in the consumer entertainment industry by working with several of the company’s market verticals. This role has a great growth potential within the company as it develops the new audio, speech and NLP R&D team.

This position will be based in our XPERI office in Galway, working with team members within Ireland, Romania, and the United States. Remote working scenarios within Ireland may be considered for the right candidate.

Position: 

We are looking for an experienced speech processing and NLP engineer, who has comprehensive knowledge of deep learning, to lead the team and develop on the edge speech processing and NLP technologies with very limited or no access to the cloud.

We need you to join our XPERI Global Audio & Imaging Innovation Business to work on cutting edge technologies and solutions in audio, speech, NLP and machine learning. 

The ideal candidate will be a system thinker who approaches the work with humility and respect for other team members.  Must have an interest in leadership and mentoring and be able to work effectively with other remote teams around the world.

A Day in XPERI as Principal R&D Engineer for Speech and NLP:

  • Work with team in California to conceptualize, architect, build and implement deep learning speech and NLP solutions for deployment on edge devices
  • Provide technical advice and help coordinate work of other team members in Galway
  • Develop, document, test and maintain internal common codebases and workflows used across projects
  • Facilitate technical discussions, problem solving stand-up sessions and technical literature reviews
  • Stay up to date with the latest relevant developments in the field, prototype with and learn new technologies
  • Collaborate with members of imaging team on possible multi-modal NLP solutions

Key Skills:
 

  • Extensive R&D experience in speech processing and NLP in particular automated speech recognition (ASR), text to speech (TTS) synthesis, lexical processing, semantic analysis, sequence to sequence transformations, speech feature engineering etc.
  • Experience in deep learning research and deployment
  • Experience leading and mentoring technology development teams
  • Solid Python and C / C++ programming language skills
  • Experience with one or more deep learning libraries, like PyTorch or TensorFlow
  • Experience with Linux systems and remote development environments / workflows
  • Strong analytical and troubleshooting skills
  • Approachable with excellent written and spoken English communication skills
  • Approachable with excellent written and spoken English communication skills

 Education / Experience:

  • MSc. or Ph.D. (preferred) in electrical engineering, computer science, computational linguistics, data science or a related discipline, such as statistics or applied mathematics with specialization in speech processing and NLP
  • At least 5 years of full-time industry experience in speech and NLP product development

Additional Skills and Experience (would be added advantage):

  • Working experience with end-to-end deep learning technologies for ASR and TTS
  • Proficiency with a variety of programming languages, frameworks, and tools
    • Python: NumPy, Pandas, Bokeh, SciPy, Flask
    • C / C++: CMake, JUCE, Python extensions
    • Docker
    • Audio Analysis: Adobe Audition or similar