賽輪思股份有限公司

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative 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 • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative 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 • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

CerenceAI China RD is seeking a Research Engineer to design and implement the next-generation text-to-speech systems and applications. In this role, with members in globe, you will work both frontend (Grapheme-to-phoneme, Text Normalization, phrasing and prosodic control, etc) and backend (acoustic modeling, neural vocoding) components of engine pipelines and end-2-end system for major languages and dialects. Your work will directly impact CerenceAI products ranging from voice assistants to accessibility tools, delivering natural, expressive, and multilingual speech synthesis. Job Description Representative responsibilities/duties will include but not limited to: • Design and optimize text/NLP preprocessing pipelines with Deep Learning or Machine Learning methods, including Grapheme-to-phoneme (G2P) conversion for multilingual support; Text normalization; polyphone disambiguation; Prosody prediction and control • Integrate language models (e.g., BERT, GPT variants) to improve contextual and semantic understanding for natural intonation • Develop rule-based and neural solutions for emotion/style control in synthesized speech • Build state-of-the-art acoustic models (e.g., Tacotron, FastSpeech, VITS) to map linguistic features to spectrograms or waveform parameters. • Optimize neural vocoders (e.g., WaveNet, HiFi-GAN, MelGAN, LPCNet) for high-fidelity, real-time speech synthesis • Optimize inference latencies for both edge devices and cloud platforms • Enhance robustness through noise suppression, speaker adaptation, and multilingual/cross-language/cross -gender voice cloning Knowledge, skills, and qualifications Education: Master in CS, AI, EE, Math, or related field. Required/preferred skills: • hands-on experience in speech generative 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 • Knowledge on transformer-based language models for prosody prediction • Basic understanding of autoregressive / non-autoregressive acoustic models and neural vocoders • Experience in optimizing models via quantization, pruning, or knowledge distillation • Experience with ONNX Runtime, TensorRT, or TorchScript, etc • Experience with zero-shot/one-shot/few-shot voice cloning or emotional TTS systems • Skilled GPU/TPU cluster and grid user • Fluent English is a must-have

We are seeking a highly skilled Senior Software Engineer for the development and release of software products by transforming research outcomes into production-ready solutions. The ideal candidate will be responsible for ensuring software quality through comprehensive testing, managing version upgrades, resolving code conflicts, and maintaining proper documentation. Key Responsibilities: Representative responsibilities/duties will include but not limited to: • Translate research findings and prototypes into production-grade software solutions • Collaborate with R&D teams to bridge the gap between innovation and product delivery • Conduct thorough automated testing, including stability and performance testing, prior to product releases • Develop and maintain CI/CD pipelines to ensure smooth deployment processes • Resolve merge conflicts in version control systems (e.g., Git) • Review and optimize codebase for maintainability and scalability • Ensure compliance with coding standards and best practices • Write comprehensive release notes detailing changes, improvements, and known issues • Maintain technical documentation for development processes and system architecture Knowledge, skills, and qualifications Education: Bachelor’s or above degree from CS or related field Required/preferred skills: • 5+ years of experience in software development • Strong proficiency in C/C++, Java and Python • Experience with automated testing frameworks • Knowledge of performance testing tools • Familiarity with version control systems • Proven track record of delivering production-ready software • Basic deep learning and LLM knowledge and reference framework and optimization with such as ONNX • Excellent problem-solving and communication skills • Good team player with fluent English language capability CerenceAI champions diversity and innovation. We welcome applicants from all backgrounds to work on cutting-edge AI voice technology, shape the future of human-machine interaction, and join a team that values innovation and collaboration.

We’re looking for a highly motivated Software QA Engineer to join our team. He/she should have a solid understanding of SW development life cycles and test methodologies, combined with a passion for quality and efficiency. The responsibility is focus on AI Voice Interaction and recognition testing, reporting, problem analysis, etc. Automation tools/framework maintaining, training data collecting are also required. Principal Duties and Responsibilities 1) To review product requirements, user experience specifications, technical design for testability. 2) To develop test plans and test case (automatic and manual) for specific projects. 3) To build and maintain requirements / test cases/ test result traceability matrix. 4) To execute automatic and manual testing, generate QA report, and analyze problems. 5) To maintain integration automation test for continuous integration. 6) To integrate software delivery and configuration updates on target platforms (e.g., phone, tablet or Car Head Unit). 7) To collaborate with multiple teams on different sites. Knowledge, Skills and Qualifications Education: Bachelor’s degree in computer science, electric engineering, etc. Minimum years of work experience: 3 Required skills: 1) Skilled in Python, Linux, and Jenkins. 2) Experience in usage and implementation of Automatic Test tools and techniques. 4) Skilled in software requirement analysis. 5) Strong problem analysis and solving skills, fast learner, willing to take the challenge. 6) Good English Oral communication skills, teamwork spirit and be responsible for the delivery. Preferred skills: 1) Knowledge / Experience on JIRA is a strong plus. 2) Knowledge / Experience of C++ / Java is a strong plus. 3) Knowledge / Experience of ASR/NLU is a strong plus.

Position Summary We’re looking for a highly motivated Software QA Engineer to join our team. He/she should have a solid understanding of SW development life cycles and test methodologies, combined with a passion for quality and efficiency. The responsibility is focus on AI Voice Interaction testing, reporting, problem analysis, etc. Automation tools/framework maintaining, training data collecting are also required. Principal Duties and Responsibilities 1) To review product requirements, user experience specifications, technical design for testability. 2) To develop test plans and test case (automatic and manual) for specific projects. 3) To build and maintain requirements / test cases/ test result traceability matrix. 4) To execute automatic and manual testing, generate QA report, and analyze problems. 5) To maintain integration automation test for continuous integration. 6) To integrate software delivery and configuration updates on embedded platforms (e.g., phone, tablet, chipset or Car Head Unit). 7) To collaborate with multiple teams on different sites. Knowledge, Skills and Qualifications Education: Bachelor’s degree in computer science, electric engineering, etc. Minimum years of work experience: 0 Required skills: 1) Skilled in Python, Linux, and Jenkins. 2) Experience in usage and implementation of Automatic Test on Web Services and System Services. 4) Skilled in software requirement analysis. 5) Strong problem analysis and solving skills, fast learner, willing to take the challenge. 6) Good English Oral communication skills, teamwork spirit and be responsible for the delivery. Preferred skills: 1) Knowledge / Experience on JIRA is a strong plus. 2) Knowledge / Experience of C++ / Java is a strong plus. 3) Knowledge / Experience of AI LLM is a strong plus.

Responsibilities: • Analyze and implement product requirements from projects. • Integrate the latest voice recognition technologies. • Develop unit tests to ensure the product quality. • Improve the performance, latency, memory. • Develop product for different platforms. • Write technical documents, such as API document, User Guide document, Footprint document, etc. • Support the projects which use our SDK. Education: • Bachelor’s or master’s degree in computer science, EE, software engineering, etc. Minimum years of work experience: • 3 Qualifications: • Minimum 5 years working experience or relevant work experience. • Strong C/C++ programming skills, proficient in basic C++ knowledges such as multi-thread programing, memory management, etc • Familiar with version control tool Git. • Familiar with Linux developing environment. • Experience with Python is a plus. • Positive "can-do" attitude, well organized, strong sense of responsibility. • Ability and willingness to handle occasional peak demands. • Team-work spirit. Preferred skills: • Experience with speech recognition or related technologies is an advantage. • Experience with Android development is a plus. • Experiences in JNI is a plus. Preferred Skills: Voice interaction design and development background, Good at JavaScript/TypeScript programming skills. Familiar with Python script.

Responsibilities: • Analyze and implement product requirements from projects. • Integrate the latest voice recognition technologies. • Develop unit tests to ensure the product quality. • Improve the performance, latency, memory. • Develop product for different platforms. • Write technical documents, such as API document, User Guide document, Footprint document, etc. • Support the projects which use our SDK. Education: • Bachelor’s or master’s degree in computer science, EE, software engineering, etc. Minimum years of work experience: • 3 Qualifications: • Minimum 5 years working experience or relevant work experience. • Strong C/C++ programming skills, proficient in basic C++ knowledges such as multi-thread programing, memory management, etc • Familiar with version control tool Git. • Familiar with Linux developing environment. • Experience with Python is a plus. • Positive "can-do" attitude, well organized, strong sense of responsibility. • Ability and willingness to handle occasional peak demands. • Team-work spirit. Preferred skills: • Experience with speech recognition or related technologies is an advantage. • Experience with Android development is a plus. • Experiences in JNI is a plus. Preferred Skills: Voice interaction design and development background, Good at JavaScript/TypeScript programming skills. Familiar with Python script.

RJob description： 1.System Integration Development o Interface with LLM development teams to integrate SDKs into in-vehicle systems o Develop voice interaction middleware for coordinating ASR (Automatic Speech Recognition), NLU (Natural Language Understanding), and TTS (Text-to-Speech) pipelines o Design hybrid solution to integrate cloud LLM and edge LLM, take care of the arbitration between cloud and edge 2.Performance Optimization o Optimize end-to-end response latency o CPU and memory footprint control and cold-start acceleration Requirement： • Working experience: 3 years and above • Proficient in C++11/14 embedded development • Hands-on project experience with Linux/Android Automotive OS • Understanding of LLM, Agent, RAG and corresponding inference framework/runtime • Familiar with Inter-Thread Communication and Inter-Process Communication

Job description： 1.Develop and maintain the ​​Configuration Management Plan (CMP)​​, defining policies, tools, and workflows for managing software artifacts. 2.Establish and enforce ​​baselines​​ (e.g., requirements, design, release) and ensure adherence to change control procedures. 3. Implement and manage ​​version control systems​​ (e.g., Git) for source code, scripts, and documentation. 4. Oversee ​​build automation​​ using tools (e.g., Jenkins, Git Runner) to ensure reproducible and auditable builds. 5. Maintain ​​release branches​​ and manage version numbering schemes 6. Chair or advise the ​​Change Control Board (CCB)​​, evaluating change requests for impact on scope, schedule, and quality. 7. Ensure all changes undergo formal ​​review, approval, and testing​​ before deployment. 8. Conduct ​​configuration audits​​ (functional and physical) to validate compliance with standards (e.g., ISO). 9. Administer ​​configuration management databases (CMDB)​​ and tools (e.g., Jira, Ansible). 10. Define access controls and maintain ​​development, testing, and production environments​​. 11. Coordinate ​​software releases​​, including packaging, documentation, and deployment plans. 12. Ensure ​​traceability​​ between requirements, code, tests, and releases. 13. Manage ​​emergency rollbacks​​ and historical version retrieval. 14. Train developers, testers, and PMs on SCM processes and tools. ​​Qualifications​​: ​​Education & Experience​​ 1. Bachelor’s degree in ​​Computer Science, Software Engineering, or related field​​. ​​2. 5+ years​​ in software configuration management, release engineering, or QA. 3. Experience with ​​GJB, ISO 27001, or CMMI​​ frameworks preferred. ​​ Technical Skills:​​ 1. Proficiency with ​​SCM tools​​: Git, Jenkins, Docker, etc. 2.Expertise in ​​build/CI/CD pipelines​​ and scripting (e.g., Python). 3. Familiarity with ​​compliance standards​​ in Automotive software (ASPICE, etc).