「聲學/AE Engineer (Acoustic)(配合專案出差)(CPD-X)」的相似工作

1. 使用CREO繪圖軟體將設計3D圖修改成適合模擬的圖檔，利用聲學模擬軟體 COMSOL 進行設計驗證。 2. 與設計工程師討論產品設計問題，並給出改善建議。 3. 須使用聲學量測儀器與設備 (Klippel & SoundCheck)，驗證模擬的準確性。 4. 可配合出差客戶端，與客戶討論模擬問題。

- Development acoustic products like wired/wireless headsets and speakers, conference call systems, hearing aids related products - Join audio algorithm tuning and optimization - Encouraged to propose audio conceptual ideas and patents - Co-work with Hardware, ME and firmware team to implement acoustic system products

1. Audio, Speech Recognition, Communication quality validation and analyzing. 2. Specification/Procedure/Regulatory research and development. 3. Test sequence/quality improvement and automation. 4. Training courses delivering. 5. Customer consulting and service.

工作內容 1. 藍芽音訊Codec(LHDC)與音效演算法開發維護 2. 演算法於嵌入式系統之整合模擬 (尤重 Candence HiFi DSP) 3. 演算法於嵌入式系統之移植優化 (尤重 Candence HiFi DSP)

We are seeking a talented and passionate Audio AI Engineer to join our team. You will be responsible for developing, training, and deploying cutting-edge AI models for real-time and audio noise reduction. Your work will directly impact the clarity and quality of our products, from teleconferencing and communication tools to creative audio production and media. The ideal candidate has a strong background in deep learning, a solid understanding of digital signal processing (DSP) fundamentals, and a keen ear for sound. You will collaborate with a cross-functional team of researchers, software engineers, and product managers to bring innovative audio solutions to life. # Responsibilities 1. Design, develop, and train deep learning models (e.g., neural networks) specifically for audio denoising, dereverberation, and speech enhancement. 2. Curate, manage, and preprocess large-scale audio datasets for model training and evaluation. This includes collecting, cleaning, and labeling noisy and clean audio pairs. 3. Optimize AI models for performance, latency, and resource efficiency, ensuring they can run effectively on various platforms, including cloud servers, mobile devices, and embedded systems. 4. Stay up-to-date with the latest research in audio signal processing, machine learning, and generative AI for audio. Explore and prototype new algorithms and techniques to push the boundaries of audio quality. 5. Work closely with the software engineering team to integrate production-ready models into our software and services. Partner with product and design teams to understand user needs and translate them into technical requirements. 6. Develop robust evaluation metrics and conduct rigorous testing (both objective and subjective listening tests) to ensure the denoising models meet high-quality standards. 7. Diagnose and resolve technical issues related to audio processing pipelines and AI model performance. # Requirements 1. Bachelor's, Master's, in Computer Science, Electrical Engineering, Signal Processing, or a related technical field. 2. Proven experience in a role focused on machine learning, with a specialization in audio, speech, or signal processing. 3. Strong proficiency in Python is a must. Experience with C++ is a plus, especially for low-latency, real-time applications. 4. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. 5. A solid theoretical and practical understanding of digital signal processing (DSP) concepts, including time-frequency analysis, filter design, and spectral processing. 6. Familiarity with audio editing software like Audacity, Pro Tools, or Adobe Audition for data inspection and analysis. 7. Proficiency with Git. # Preferred Qualifications 1. Experience in a production environment deploying machine learning models into live systems. 2. Knowledge of specific audio denoising techniques and models (e.g., RNNoise, WebRTC, U-Net architectures for audio). 3. Experience with real-time audio systems and APIs. 4. A background in audio engineering or a related field, with an excellent ear for sound quality. 5. Strong mathematical foundation in linear algebra, probability, and statistics. 6. Experience with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. # Soft Skills 1. Excellent problem-solving and analytical skills. 2. Strong communication and collaboration abilities, with the capacity to explain complex technical concepts to non-technical stakeholders. 3. A passion for audio and a creative mindset for solving difficult audio challenges. 4. Ability to work independently and as part of a highly collaborative team. 5. Proficiency in both English and Chinese, written and spoken.

1.Acoustic(聲學)量測及頻譜分析 2.半無響室軟體、硬體維護 3.振動量測及頻譜分析 4.集團聲學/振動/平衡相關事務統籌 5.提供聲學技術相關問題諮詢 6.客戶特殊聲學需求對應(如Tonality、Harmonic...等) 7.開發案件(聲學、噪音、異音、振動)相關問題建議改善與對策

【Summary】 We are assembling a world-class acoustics team that will perform research and development of acoustic solutions that provide users with exceptional experiences. We are a team that demonstrates and shares its passion for audio through the innovative platforms and products we develop. We have expertise in audio system design, integration, and manufacturing. We work in a diverse, highly collaborative, cross-functional environment to develop innovative, high quality audio systems for application in home, hearables, conferencing, professional and automotive market segments. We are searching for a System Acoustics Engineer to join our team to develop high quality audio products from concept through to production. 【Key Qualifications】 •Strong background in acoustics industry; Teleconferencing product experience highly preferred •Thorough knowledge in the fundamentals of speaker transducers and microphones. •Understanding and familiar with measurement equipment like Audio Precision, Klippel RD, Soundcheck, etc. •Experience with DSP platforms, including ability to understand HW design & audio DSP signal flows. •Strong analytical capability of acoustic simulation and measurement results •Proven experience in effective communication and presentation skills •Learning attitude with an attention to detail •Excellent teamwork in a dynamic project environment. 【Description】 You will be working with a team of acoustic, mechanical, hardware, software, DSP engineers to develop new audio products and evaluate acoustic performance. This role requires an ability to think critically, work with a hands-on, “get it done” approach. You have strong internal drive, a tenacious spirit, a collaborative method of working, and a deep commitment to delivering innovative solutions, all driven by a core passion for audio. You will be a fluent Mandarin and English speaker, able to converse freely in either language.

專注於研究和降低電驅動系統產生噪聲和振動 1.建立動力學模型 2.進行振動和噪聲模擬分析和優化 3.對於在實際生產和運作中出現的NVH問題，提供改進與優化建議 4.零件設計出圖、開發送樣 【需求條件 具備尤佳】 1.使用振噪分析軟體(如Actran等)進行電驅系統NVH模擬，能夠建模、模擬和後處理結果為佳 2.熟知分析電機、控制器、變速器、齒輪傳動等電驅動系統組件的NVH特性為佳 3.具備研究並提出降低或抑制噪音和振動之優化策略為佳

(1)操作、維護儀器設備,協助客戶檢測洩漏(漏水、漏氣、漏電)及地下管線定位. (2)從事各種測量實務 (超音波測漏、管路檢漏、管線定位)及編製報告. (3)數據資料整合分析.

1. 依客戶產品功能需求展開產品架構設計方案評估、分析與整合。 2. 促進各個RD團隊設計協作，以實現最佳設計為目標。 3. 產品規格書之整合與重點規格定義。 4. 對應客戶技術層面之英文溝通與協商。

1.規劃執行產品韌體之撰寫，並維護量產產品, 具備基本英文讀寫能力，能閱讀晶片或 模組datasheet。 2.執行、協助或配合韌體新技術之研發、導入, 執行產品韌體測試與修改。 3.可學習數位硬體電路或具簡易硬體電路設計及除錯經驗。 4.撰寫韌體設計說明書。 5.愛好音樂者或具樂器背景尤佳。 6.對AUDIO DSP 演算法興趣學習或具經驗尤佳。 7. 2年以上韌體開發經驗尤佳 82w. 個性主動積極，配合度高者

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

與品質單位及產品開發團隊協作，包含: 1. 分析客戶或市場需求 2. 訂定產品開發專案品質管理計畫 3. 蒐集設計經驗教訓 (Design Lessons Learned)，與RD協作避免已知異常再發於新產品 4. 與RD協作評估設計潛在風險並緩解風險因子隱患 (如DFMEA) 5. 與RD、製程工程師協作進行DFM/A 6. 訂定產品可靠性測試計畫，跟進測試進度、異常根因分析與改善進度 7. 與RD協作訂定關鍵產品功能與料件(Critical to Quality)，並跟進試產的關鍵品功能數據 8. 參與新產品試產readiness review、良率檢討 9. 追蹤產品設計問題並追蹤至結案 10. 與專案團隊協作，共同評估新產品通過階段的風險 11. 參與DQE作業標準化及知識管理與訓練

「具半導體封裝測試設備經驗」者優，職掌如下： 1. 設備保養事務，以達機台完整維護。 2. 設備異常查修，以利生產順暢。 3. 設備改善，針對機故、製程穩定度進行改善。 4. 自動化提升項目與專案推進。 5. 其他主管交辦事項。 歡迎有志提升設備能力的人才加入。 12小時制 需輪早夜 輪休 月薪另含每日延長工時及職能津貼

FIH作為全球移動通訊設備領導廠商, 並持續擴展多元商業機會， 產品專案項目多元發展，包含：手機、聯網通訊產品、車用業務、IOT產品、數位科技技術。 參與ODM/OEM大型國際客戶專案，不僅可強化個人與國際客戶合作溝通實務，亦可促進技術交流接軌。 若您具備這些特質：執行力、整合力及追求效率，歡迎您加入FIH 軟體測試團隊。 【工作內容】 •協助進行 Google 認證相關測試流程（以手動測試為主） •使用 Linux 系統操作測試環境，蒐集與記錄測試數據 •撰寫與提交測試報告給內部單位 •依照測試規範準確執行測項，並進行問題紀錄與追蹤 •協助團隊完成認證流程中的其他交辦任務

1. 接收委託單位模擬需求，定義問題並進行FEA有限元分析，提供改善方向及成果展示。 2. 主要應用ANSYS MECHANICAL為公司相關產品或製程問題模擬，包含貼合、熱傳、翹曲、脫層、落摔或其他線性與非線性結構應力評析等。 3. 定期專業知識調研、專利、技術報告產出 4. 主管交辦事項。

1. 遊戲需求調研、用戶需求掌控及根據網站活動數據分析產品並提出企劃。 2. 負責遊戲網站產品的功能規劃、wireframe設計及PRD撰寫。 3. 負責產品開發過程中的進度管理與追蹤，保證產品質量以及測試工作順利進行。 4. 負責管理產品生命週期、追蹤及分析產品使用情況，並持續維護及改進已上線產品的用戶體驗。 5. 與其它團隊良好溝通、專案時程控管及確保項目的順利進行。 6. 其餘主管交辦事項。

1.機構產品設計 2.產品量試並移轉量產 3.製作Mookup Sample to Verify 4.熟悉PRO/E 3D繪圖軟體 5.熟悉soildwork 3D繪圖軟體 *採視訊面試方式進行 歡迎應屆畢業生投遞 大學起薪:NT$45,000 碩士起薪:NT$52,000

1.主管每日分發任務 。 2.為客戶到府安裝、教學音響設備。 3.迎接客戶介紹頂級音響設備。 4.提供客戶相關售後服務

1.與系統設計人員溝通討論各項高頻參數規格 2.針對連接器高頻與機構需求提出設計建議 3.設計並驗收連接器之高頻測試治具與PCB 4.能進行高頻分析，進行實測並能將兩者match 5.針對客戶PCB設計提出建議layout與debug