「【音訊處理工程師】DSP Engineer」的相似工作

【工作內容】 • 參與證券交易相關系統之開發與維護（C# / .NET / C++） • 與交易員合作開發與維運交易策略程式 • 負責功能測試、效能測試、系統穩定性確認 • 協助主管與工程團隊完成日常技術任務 【我們希望你具備】 • 3 年以上軟體開發經驗 • 熟悉 C# or C++ • 熟悉windows系統 • 對金融或交易系統有興趣 • 能獨立負責任務，同時具備團隊合作能力 • 追求卓越，注重細節，對成果負責。 【加分項目】 • 熟悉股票/期貨的交易流程 • 具股票/期貨策略程式開發經驗（如：接收券商行情/介接券商API下單...等）

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. 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.

Introduction to the job Do you like challenges and do you want to work in a fast pacing supply chain environment to support some of the biggest semiconductor companies worldwide? Are you familiar with Logistics Operations and like to managing urgent demands on a daily basis?  If this sounds like you and if you have a strong customer oriented mindset, here is your mission. Role and responsibilities For our Global Operations Center in Taiwan we are searching for Supply Chain Professionals. You fulfill the demand of our customers for spare parts and tools for their maintenance activities on some of the most complex machines in the right quantity and at the right time & cost. Time is of the essence to ensure a seamless production of our customers without interruptions on our machines. -Handling of urgent material requests from worldwide customers in a rolling 24/7 shift system with the right customer focus, while meeting all milestones related to communication and execution -Monitoring of worldwide shipments  -Ability to resolve complex issues and drive improvements to further optimize processes -Ability to support escalations and provide communication proposals for review -Constructive and reliable communication with worldwide stakeholders from all departments within ASML -This position requires shift work. Education and Experience Bachelor's Degree in related subject i.e. Supply Chain Management, Information Science, Engineering etc. preferred -Minimum 1 year of relevant experience in an international company, semiconductor industry is preferred -A tactical thinker with strong interpersonal and communication skills -Analytical thinking and ability to organize and prioritize workload Skills Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues.  There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems. To thrive in this job, you’ll need the following skills: -Stress-resistant; act under high pressure -Flexible; willing to go the extra mile for the customer -Excellent professional communication in English, written and oral -Drive for results; does not stop until solution has been found, even when obstacles arise -Team player -Change management competencies -Convincing, pro-active and “can do” mentality -Cultural awareness -Experience with ERP system(s), SAP R/3 knowledge preferred -Ability to prioritize Diversity and inclusion ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions.

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。

1. 負責視訊產品的 聲學設計研發、測試、調適、分析與改善 2. 主導及規劃視訊產品的 聲學研發設計 3. RFI/RFQ 報價以及方案評估與建議 4. 產品的樣品製作及產線相關問題的分析與解決 5. 新產品導入，量產前的準備，技轉 6. 跨部門溝通協調,建立及改善產品製程技術的優化 7. 聲學相關零件之研究與應用

1.專案聲學設計及元件選用 2.與機構進行音腔規劃及氣密設計 3.樣品組裝驗證測試 4.應用端參數調校及驗證 5.專案流程掌控 6.導入量產及FA

【工作職責】 1. 協助整合空間音效演算法與藍牙音訊Codec（ LHDC）。 2. 協助硬體平台（如Qualcomm、MTK等）應用調教與效能測試。 3. 解決客戶端之音訊相關技術問題。 4. 撰寫技術文件、整合指南、測試報告與客戶問答（FAQ）文件。 5. 協助收集需求與市場趨勢，提供產品優化建議。 6. 定期參與與客戶的技術簡報與教育訓練會議。 【需求技能】 *熟悉藍牙音訊協定（A2DP, HFP, LE Audio）以及音訊Codec（SBC / AAC / LC3 / aptX / LDAC / LHDC）。 *熟悉音訊測試與分析流程(熟悉 oscilloscope、logic analyzer 等工具尤佳) *有初步firmware除錯能力。 【加分技能】 * 具備藍牙模組調音與射頻基本知識。 * 有調教音訊演算法（如回音消除、波束成形、空間混音）經驗。 * 具備Python或MATLAB音訊自動化測試能力。 * 熟悉USB Audio / Windows / macOS Driver 設定與測試流程。 * 處理跨國客戶經驗。

##Job Description - Digital signal and data processing algorithm design for phased array radars and anti-drone systems. - Algorithm performance evaluation, testing, and implementation. - Computer simulator establishment, including the modeling of wireless channels, no-ideal hardware effects, target and clutter characteristics. - Participation in field trials with algorithm module parameter tuning. - Study of technical specification and theoretical analysis of related products in anti-drone systems. ##Skills - Master of digital signal processing and communications principles. - Being familiar with array and adaptive signal processing, beamforming, spectral analysis, and matrix decomposition. - Skills in the programming languages of MATLAB, Python, and C++, and the tools of Git, LaTeX, and CVX. - Preferable experience in the programming languages of Go, Scala, and FPGA implementation. - Abilities to qualitative description and quantitative analysis.

1. 負責聲學器件的選型、測試與調校，確保音訊性能達標。 2. 配合硬體與軟體團隊進行聲學系統整合與優化。 3. 支持認證測試與客戶驗收中的聲學相關問題。

1. 對聲學產品: Micro Buzzer, Siren,微型揚聲器, 喇叭模組, 車載與廣播用揚聲器有興趣 2. 熟悉聲學量測設備操作Sound Check 3. 參與國內外客戶產品開發設計 4. 與大陸和越南工廠共事合作 (中文) 5. 協助客戶, EMS廠和ODM廠導入標準檢驗規範(中文) 如需英/越語溝通,有公司同事協助. 6. 每週協助主管審查生產與品質報告 7. 成為客戶與公司的溝通橋樑(聲學提問與產品建議)

1. 負責噪音測試及熟悉設備操作 2. 量測數據分析、測試報告製作。 3. 撰寫測試標準作業流程(SOP)。 4. 維護實驗室測試設備及環境整潔，即時反應異常情況。 5. 分析、驗證客戶問題。 6. 執行部門主管交辦事項。

【*此職務為工程類人員之職缺*】 聲音看不見也摸不著 卻是演唱活動上不可或缺的一環 『音響工程技術人員』 致力在演唱會上不被看到的事情 是音樂產業重要的幕後黑衣人 即便沒有背景經驗 只要你對音樂產業有熱忱 有高度學習新技能的意願 歡迎加入『音響工程技術人員』一起共同完成現場演出活動！ 你的工作日常： ●演出現場音響器材安裝架設及拆除工程 ●協助執行演出音響相關工作 ●演出之音響相關文書處理 ●音響設備清點、備貨上車 ●音響設備調校設定、音響系統基本操作 ●音響設備保養、整理 ●主管交辦事項

· Support presales activities and deliver compelling technical demonstrations · Drive technical marketing initiatives and collaborate with cross-functional teams to identify business opportunities · Manage projects from concept to completion, ensuring timely delivery and quality · Perform hands-on tuning and testing of software, algorithms, acoustic systems and products

職務內容： -理解並掌握 DCP 相關產品的設計需求，負責單板軟硬體的設計。 -負責軟體的設計、除錯與維護工作；同步輸出對應軟體文件，參與部門同儕審查。 -遵循軟體開發流程與部門產品開發流程，配合其他部門完成產品的設計、開發、除錯及測試工作。 任職要求： -電力電子、自動控制或相關科系畢業。 -具備一定電力電子產品單板軟體開發經驗。 -精通 DSP 應用、C/C++ 程式設計等技能。 -熟悉控制理論，具備良好的數學基礎與抽象分析能力，熟悉單板軟體架構設計，了解軟體工程等相關知識。 -熟練使用 Matlab (simulink)/Mathcad 等軟體。 -具備良好的工作邏輯與思維習慣，能獨立思考並解決問題，工作勤奮嚴謹，善於團隊合作。 -具備一定的英語表達能力，能熟練處理英文郵件，可透過英語進行簡單會議溝通。 -具備 40kw 以上功率級充電樁模組 / HVDC 經驗，或有三相大功率 VIENNA、LLC 等拓撲、大功率逆變器產品開發經驗者優先錄用。

1. 聲學硬體架構設計與電路繪製。 2. 聲學硬體電路驗證及除錯。 3. 聲電迴路、聲學元件相關音頻品質測量、頻率響應、THD、串擾、諧波分析相關設計驗證。 4. 成品電聲相關驗證，與ID、EE、ME、FW、SW、聽力師以及製造相關單位等合作進行專案設計與設計驗證。 5. 產線聲學測試系統規劃與驗證。

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

* 搭建測試環境，包含設備、網路架構、嵌入式系統。 * 手機用 Camera 相關 SoC 之畫質調整 & 協助相關影像的自動測試。 * 手機用 Camera 的 SoC 方案影像品質調整。 * Camera 3A 調較 (自動對焦、白平衡、自動曝光 )。 AE/AWB/AF 演算法實作應用參數調整。 * 影像品質調校 (雜訊處理、解析度提升、背光補償、寬動態)。 Camera ISP 流程實作。 * 影像品質驗證 & 參數調整，影像品質改進 & 應用 。 配合軟體團隊進行圖像效果調試 & 優化。 * 設計測試驗證 & 相關問題排除 (debug)。 協助 BU & RD 部門解決測試相關問題，並依需求執行實驗、數據分析 & 報告撰寫。 持續優化測試流程 & 方法，降低產品重測率，提高測試效率。 * 支援 Camera 相關問題的分析 & 解決。 1. Manage final Image quality tuning of Smartphone camera. 2. Set up required tests for validating Image tuning. 3. Engage with different Sensors and Module solutions and incorporate the new technology into company products. 4. Work with different generation SoC or RD/SW engineers to integrate the algorithms onto their platforms. 5. Qualified Tuning Engineer on each area (one of AE/AWB/AF/ISP) would also have below additional responsibilities 5-1. Technical training, support and result review for Jr. engineers 5-2. Evaluate the appropriate task ETA date on each specific area (one of AE/AWB/AF/ISP) 6. Annual salary: 800K NTD and above 7. Onsite Google Banqiao Office Camera Image Quality Tuning Engineer (IQT) Ref. • AE (Auto Exposure) • AWB (Auto White Balance) • AF (Auto Focus) • ISP (Image Signal Process) • SoC (System on a Chip) • ETA (Estimated Time of Arrival) • HD (High-Definition) • SD (Standard-Definition) • HDR (High Dynamic Range) • DSLR (Digital Single-lens Reflex) • ISP (Image Signal Processor)

Overview: At Ubiquiti, our mission is to rethink IT—not just by making powerful networking technology more accessible, but by delivering frictionless product experiences tailored to our users. This pursuit begins at our R&D Center in Taiwan, where we not only build innovative products, but a culture of trust, transparency, and collaboration. Responsibilities - 5~8 years’ work experience as a Key EE designer for VoIP, Conference, Mobile, or Tablet products. - Mainly focus on system schematic review and mechanical stacking review with mechanical engineers and PCB layout review with layout engineers. - Work with Audio, ME teams to figure out performance issues of radios and work with SI and DQA engineers to qualify features and make sure product quality is ready to move further. - Review design derating and suggest design update due to DFM (design for manufacturing), DFA(design for assembly), and DFC (Design For Cost). - Schematic and BOM maintenance and review. - Write test plans for testing coverage, execute tests, and document test results for projects. - Report projects’ status and issue tracking to the internal team. - Teardown and review new products in the market. - Participate in the hardware design and system architecture of VoIP products, including ATA devices, IP Phones, and voice-enabled access control systems. - Design and implement audio circuits including CODEC, I2S, SLIC/SLAC, analog amplification, echo cancellation (AEC), and noise reduction (NR). - Integrate Ethernet/PoE, USB, SPI, UART, I2S, TDM, and other communication/audio interfaces. - Collaborate with the software team to implement and debug Android/Linux audio drivers, HAL layers, and power control strategies. - Support low-power design techniques such as Dynamic Voltage and Frequency Scaling (DVFS). Minimum Qualifications - Have the MP experience with VoIP, Conference, Mobile, or Tablet products. - Solid knowledge of audio hardware design and VoIP communication protocols (SIP, RTP). - Experience with Android and/or Linux system integration for embedded hardware platforms. - Familiarity with high-speed signal design. - Solid knowledge of audio hardware design and VoIP communication protocols (SIP, RTP). - Experience with Android and/or Linux system integration for embedded hardware platforms. - Proficiency in using OrCAD Capture CIS, Power PCB viewer, and Allegro viewer - Knowledge of electronic components (Ex, R/L/C/Diode/MOS/BJT/Logic ICs/Sensors) - Strong knowledge of ESD, EMI, and Surge. - Debug skills with the basic operation of oscilloscopes and logical analyzers. - Strong knowledge to support the thermal solution. Preferred Qualifications - Experience with DVFS implementation and system-level power optimization. - Background in developing products such as SIP intercoms, IP Phones, VoIP gateways, or voice-enabled control terminals. - Proficient in diagnosing audio issues such as echo, feedback, and electrical noise. - Experience integrating ALSA, PulseAudio, or Android Audio HAL layers. - Leadership in projects - Aggressive, open-minded, and positive attitude - Familiarity with the network configuration - Familiarity with test equipment like TDR, Network Analyzers

【Who we are ?】 Hytech是一個年輕、充滿活力的團隊，專注於推動金融科技行業的企業技術轉型，是全球領先的管理技術諮詢公司。創新思維和扁平化的管理，讓團隊成員以公開、透明的方式自在工作，也為全球客戶提供卓越的商業價值服務。 【About the role - Data Scientist 】 We are seeking a Data Scientist with strong analytical and machine learning expertise to join our Product team. In this role, you will design, train, and optimize predictive models, leveraging large-scale datasets to deliver AI-driven solutions that enhance system performance and business outcomes. You will work closely with engineers, data analysts, and product managers to lead data-driven decision-making and model design, deploying predictive models into real-time product operation platforms that directly influence CTR, CVR, and revenue growth. We particularly welcome candidates who are passionate about research and technical innovation or strongly desire to continuously advance in AI/ML — to join us in driving product innovation and intelligent transformation. (我們正在尋找一位具備深厚資料分析能力與機器學習經驗的資料科學家，加入我們的產品研發團隊。在這個角色中，您將負責模型的設計、訓練與優化，處理大規模資料集，打造能直接提升產品系統效能與商業價值的 AI 解決方案。您將與工程師、資料分析師及產品經理緊密合作，主導資料驅動的決策與模型設計，並將預測模型實際部署於產品端，直接影響點擊率、轉換率與營收成長) 【身為團隊的一份子您將負責】 [Cross-functional Collaboration & Business Understanding]: 1. Engage in product and technical discussions to clarify the team/customer's requirements and data constraints, assessing the feasibility and potential risks of model development. (參與產品與技術需求討論，釐清客戶需求與資料限制，評估模型開發的可行性與潛在風險) 2. Collaborate closely with business, product, marketing, risk, and engineering teams to translate data science insights into practical, scalable, intelligent services and product solutions. (與業務、產品、行銷、風控及技術團隊緊密合作，將資料科學成果轉化為可落地的智能服務與產品解決方案) [Data Preparation & Analysis]: 1. Perform data cleaning, feature engineering, and exploratory data analysis (EDA) to ensure data integrity and model accuracy. (執行資料清洗、特徵工程與探索性資料分析，確保資料完整性與建模準確性) 2. Integrate diverse data sources (e.g., user behavior, transaction records, third-party tracking tools) to enrich data assets and analytical insights. (整合多元資料來源(如使用者行為、交易紀錄、第三方追蹤工具等)，深化數據資產應用與洞察) 3. Guide data analysts on data preprocessing and feature engineering to maintain project quality and consistency. (指導資料分析師進行資料前處理與特徵工程，確保專案執行品質與結果一致性) 4. Collaborate with data engineers and analysts to optimize data pipelines and model deployment workflows, improving data processing efficiency and system stability. (與資料工程師及分析團隊合作，優化資料管線與模型部署流程，提升資料處理效能與系統穩定性) [Model Development & Optimization]: 1. Design interpretable AI models to help business and product teams understand predictive logic, improving model transparency and trust in the application. (設計具可解釋性的 AI 模型，協助業務與產品團隊理解預測邏輯，提升模型透明度與應用信任度) 2. Develop predictive, clustering, and recommendation models; continuously monitor, evaluate, and optimize their performance and stability. (建立預測、分群與推薦模型，持續監控、評估並優化模型效能與穩定性) 3. Design robust model training and validation strategies to address challenges such as overfitting, data imbalance, and feature selection. (設計模型訓練與驗證策略，解決過擬合、資料不平衡及特徵選擇等常見挑戰) 4. Apply statistical analysis, machine learning, and deep learning techniques for data exploration and hypothesis testing, supporting product design and strategic recommendations. (應用統計分析、機器學習與深度學習技術進行資料探索與假設驗證，支持產品設計與決策建議) 5. Develop deep learning and machine learning models, leveraging large language models (LLMs) and natural language processing (NLP) tools to streamline internal workflows and enhance operational efficiency and analytical quality. (開發深度學習與機器學習模型，並運用大型語言模型及自然語言處理工具，優化內部流程、提升營運效率與分析品質) [Model Deployment & Application Strategy]: 1. Prepare detailed Statements of Work (SoW) outlining prediction tasks, data requirements, project deliverables, and acceptance criteria to ensure clear project alignment. (撰寫SoW文件，明確定義預測任務、資料需求、交付範圍與驗收標準，確保專案執行方向一致) 2. Develop model application strategies—including deployment frequency, prediction thresholds, and anomaly detection mechanisms—to continuously optimize model utilization and business impact. (制定模型應用策略(如部署頻率、預測門檻、異常警示機制等)，持續優化模型應用與商業成效)

我們在做這樣的事： 於Windows/Mac/iOS開發多媒體影音軟體 我們在找這樣的人才： 1. C/C++, Java, Objective-C and Swift精通至少一種 2. 具跨小組溝通及協調能力 3. 多媒體影像/視訊處理相關經驗者尤佳 ------------------------------------------------------------- 歡迎程式高手挑戰【訊連科技線上程式語言測驗】 考題：C/C++ 考試連結：https://coderbyte.com/sl-candidate?promo=cyberlink-8vi0w:c-assessment-1b-rb33fie4p3&invb=user3y2ifqus *若通過測驗會主動與您聯繫，安排面試時間*