賽輪思股份有限公司

As a Principal Software Engineer , you will serve as a technical backbone for our speech output software products, working alongside the Senior Software Engineering Manager and junior engineers to drive innovation and execution. You will own critical development and optimization tasks across embedded and cloud-based speech output systems , ensuring high-performance, scalable, and multilingual solutions. Your deep technical expertise will directly influence product architecture, API/SDK enhancements, and algorithm integration. Job Description Representative responsibilities/duties will include but not limited to: Lead core speech output module integration and optimization (voice synthesis, text processing, latency optimization) for embedded and cloud platforms. Design and optimize high-performance APIs/SDKs , ensuring compatibility, efficiency, and developer-friendly interfaces with high quality documentation. Implement advanced regression testing (automated pipelines, stress testing) to maintain code quality and stability. Collaborate with algorithm teams to enhance multilingual speech output models , improving accuracy and naturalness across languages. Mentor engineers and contribute to technical roadmaps , aligning with product and business goals. Debug and resolve complex system-level issues in production environments. Knowledge, skills, and qualifications Education: MS in CS, EE, AI or related field. Required/preferred skills: 8+ years in software engineering, with 3+ years in speech output/AI or speech-related projects. Mastery in embedded systems (Android, Linux, RTOS) and cloud architectures (microservices, Kubernetes). Strong expertise in C/C++, Python, and scripting for low-latency and high-throughput systems. Proven ability to design scalable APIs/SDKs Hands-on experience with multilingual speech output pipelines (text processing, acoustic model and vocoder). Excellent problem-solving and communication skills and ability to work cross-functionally. 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.

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

CerenceAI is seeking an experienced Senior Software Engineering Manager to lead our speech output core software product development and releasing, spanning embedded devices and cloud services . In this role, you will drive the design, implementation, and delivery of high-performance APIs/SDKs, ensuring seamless integration, scalability, and multilingual support. You will collaborate closely with product managers to align with product upgrade, customer needs and work with algorithm and project teams to optimize the product performance. Job Description Representative responsibilities/duties will include but not limited to: Oversee the full software lifecycle (flexible architecture, agile development, automatic testing and deployment) for core engine products, ensuring timely and stable releases. Design and maintain robust APIs/SDKs for embedded and cloud platforms, prioritizing performance, security, and developer experience. Implement regression testing frameworks and CI/CD pipelines to guarantee product quality. Lead cross-functional teams to integrate multilingual support and enhance localization accuracy. Bridge technical and business stakeholders, translating client requirements into actionable engineering plans. Mentor engineers and foster a culture of innovation and best practices. Knowledge, skills, and qualifications Education: MS in CS, EE, or related field. Required/preferred skills: 10+ years in software engineering, with 5+ years in leadership (e.g., managing teams in converting research results to core product). Expertise in embedded systems (Android/Linux, low latency/small footprint optimization) and cloud architectures (microservices, containerization). Strong background in API/SDK and architecture design , versioning, and documentation. Proficiency in regression testing (unit/integration testing, Jenkins automation tools). Experience with speech output pipeline (text processing, acoustic model, vocoder) and applications, such as voice cloning, voice conversion, etc. Knowledge in deep learning and large language model is a must-have . Excellent English and Mandarin communication skills to align technical solutions with business goals. 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 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: 3 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: • Speech dialog system application development for android platform • Implement VUI/GUI of the application according to requirement • Ensure the performance, quality, and responsiveness of applications • Collaborate with a team to define, design, and ship new features • Identify and correct bottlenecks and fix bugs • Porting Speech dialog system to various android device • Fix various audio issues of the target android devices. • Help maintain code quality, organization, and automatization Qualifications Number of Years of Work Experience: 5 years+ Required Skills: • Extensive experience with Android framework. Knowledge of http, tcp protocol. • Familiar with Android Audio HAL and audio framework • Familiar with Android OpenSLES for audio recording and playback • Experience with Hybrid application development. • Experience with Bluetooth connectivity and Bluetooth audio programming. • Understanding of Google’s Android app design principles and interface guidelines • Knowledge of user interface design and a passion for making delightful user experiences • Experience with performance and memory tuning with tools • Familiar with cloud message APIs and push notifications • Familiar with socket programming • Familiar with NDK and native code development • Familiarity with continuous integration and deployment Required Skills: Solid C/C++, Java coding skills 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.

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.