「Senior Windows Application Engineer - Audio Development Environment」的相似工作

【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.

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

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.

*****此職缺為台灣合作企業[万十科技股份有限公司]徵才**** 【工作內容】 1. 製作相關課程教材。 2. 規劃、執行活動。 3. 講習課程內容。 【必備技能】 1. 熟悉 JAVA 以及 Spring Boot 架構。 2. 熟悉 MySQL 或其他關聯式資料庫。 3. 學歷要求:大學以上。 4. 科系:不拘(相關科系尤佳)。 5. 親和力、口條佳。 【加分條件】 1. 具有講師經驗一年以上。 2. 教學能力，對於JAVA課程解說課成熟。 3. 熟悉 Vue 或 Angular 或 React 任一前端框架尤佳。 4. 熟悉 HTML/CSS/Bootstrap/jQuery。

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

• Participate in the development of software products based on PM-defined requirements • Survey, design, implement, test, and maintain software features • Handle bug fixing, software enhancement, and feature improvements • Take part in CI/CD pipeline setup and maintenance • Manage GitLab-based project repo and DevOps flow

•Join the implementation of payment Software Development Kits (SDKs), payment applications, and remote device agents for IDTECH products on Windows, Linux, and embedded OS. •Actively participate in the design and development of the payment (API), contributing to the overall success of the projects. •Collaborate closely with the firmware team, Quality Assurance (QA) team, and product manager to ensure the delivery of high-quality SDKs, aligning with project •Provide support to customers in integrating their applications/systems with IDTECH products.

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 detail-oriented and motivated Senior System Test Engineer to join our IP camera development team. In this role, you will design, execute, and automate test procedures to ensure image quality and feature stability of our surveillance products. You’ll work in a collaborative, cross-site Agile environment alongside global teams. Key Responsibilities - Design and execute test cases based on product specifications - Validate camera functions and image performance (subjective/objective) - Conduct issue tracking, debugging, and report test results - Develop and maintain automated test scripts (Matlab / C# preferred) - Contribute to testing process improvements and agile teamwork

1.進行無人機飛行控制相關演算法與模擬環境開發、測試與驗證 2.開發並維護建立在機載電腦與飛控模組內演算法與程式 3.建立實機測試流程與標準化測試手法 ※工作待遇：將依學經歷進行敘薪

1.感測器融合 2.影像處理(Digital image processing) 3.機器學習(Machine learning) 4.圖形辨識(Pattern Recognition) 5.電腦視覺(Computer vision) 6.機器視覺(Machine vision) 7.3A演算法撰寫及開發 8.影像品質調校及分析 9.感測器之影像品質

 Project platform HW system design integration  EE Schematic design  PCB layout design and review  RFQ/PRD research and feedback  Component survey and technology study  Bom creation and maintain  EE circuit/system design developing , validation and debugging.

1. 開發 Touchscreen 與新穎無電式資料筆等相關產品 ； 2. 開發並優化電容式觸控相關演算法； 3. 設計並識別觸控手勢與操作行為； 4. 以創新的系統整合方法提升使用者體驗； 5. 以演算法解決實際應用中的多樣化需求，並提升系統效能； 6. 與硬體和軟體團隊合作，開發新型態硬體訊號模型。

1. 技術規劃與研發 • 建立公司 Omniverse 應用的核心技術架構，包括 USD 資料格式、Nucleus 伺服器、Connector 開發與模擬場景搭建。 • 與 AI 團隊合作，將 AI 檢測、VLM/LLM 模型與 Omniverse 數位孿生整合，實現即時可視化與交互控制。 • 開發自動化數據管線，連接 MES、PLC、IoT、AI 檢測系統與 Omniverse 模型。 2. 概念驗證與專案推進 • 負責 Omniverse POC 開發，驗證在工廠、製造、檢測、物流等領域的應用可行性。 • 與業務與產品團隊協作，定義功能需求並落實至技術實作。 3. 生態系合作與技術導入 • 與 NVIDIA Omniverse 團隊及合作夥伴保持技術交流，追蹤 Omniverse 最新功能與 SDK。 • 參與 Omniverse 社群與技術論壇，建立公司在該領域的技術影響力。 4. 團隊啟動與人才培訓 • 規劃未來 Omniverse 團隊架構與職能分工。 • 在團隊成長前期承擔研發、系統整合與技術支援的多重角色，並負責後續新人培訓。

我們是台達內部新創團隊「智能製造軟體新事業發展部」，致力於打造下一代數位雙生平台 DIATwin。這裡結合工業自動化、3D 模擬與 AI 技術，讓軟體成為製造業的核心驅動力。如果你渴望參與世界級的開發挑戰，將想法快速落地，歡迎加入我們，和高手並肩創造工業軟體的新標竿。 本職缺主要工作內容: 1. 參與數位雙生(Digital Twin)軟體平台的開發與建置 2. 依據產品需求使用C++開發底層資料結構 3. 依據產品需求(UX/UI)功能以Qt / C++ 開發前端程式 4. 開發3D CAD檔案解析/優化 5. 進行前端相關軟體架構設計及討論，並可以提出相關見解和做法 6. 參與團隊相關進度追蹤及討論會議

● Familiar with regular tuning tasks in auto white balance (AWB), which are ● Familiar with regular tuning tasks in auto exposure (AE), which are ● Familiar with regular tuning tasks in auto focus (AF), which are ● Familiar with regular tuning tasks in image signal processing (ISP), which are ● Bachelor's degree in Computer Science, related technical field or equivalent practical experience. ● 5 years of experience in image quality tuning for consumer cameras (i.e. auto-white balance auto-focus, auto-exposure, auto-flicker detection/correction, and auto-scene detection). For tuning engineer III ● 3 years of experience in image quality tuning for consumer cameras (i.e. auto-white balance auto-focus, auto-exposure, auto-flicker detection/correction, and auto-scene detection). For tuning engineer II ● 1 years of experience in image quality tuning for consumer cameras (i.e. auto-white balance auto-focus, auto-exposure, auto-flicker detection/correction, and auto-scene detection). For tuning engineer I ● Familiar and experienced in multi-generation camera tuning projects, leveraging Google's imaging infrastructure (labs, tools, and equipment) along with proficiency in optical analysis tools (ex. Imatest and DxO Analyzer) Familiar with Android/git environment and phone camera tuning and image optimization procedure

Job Description This role is responsible for applying Program Managing methodology in delivering the deliverables for a pan HP application that serves as a data repository that stores the mandatory data for HP Products such as and offers the functionalities that are required to accommodate the business process for various BUs as well as our HP partners. The role engages with the application users and works with the development team to plan, define, execute and deliver quality products to ensure customer satisfaction as well as business accommodations. This is a “hands-on” position requiring solid technical skills, as well as excellent interpersonal and communication skills and is capable of working independently and collaboratively. Responsibilities -Interact with users to understand their requests and pain points. -Manage Product Backlog. -Submit PBIs\Bugs on TFS with all the necessary details for the development team to comprehend. -Host Issue Review Meeting to review any outstanding issue\ticket and drive issue resolution. -Bridge the gap between user expectation and development feasibility. -Interact with customers and the development team to gather and define requirements. -Analyze and studies customer requirements to determine the most effective software and web technologies to satisfy their needs. Skills and Qualifications The candidate should meet the developers qualifications. -5 years of project management experience for a massive scale legacy Product. -Bachelor’s degree or higher in Computer Science, Computer Engineering, -Mathematics, Information Management or other related major. -Ability to plan, execute and deliver quality products in a timely manner. -Excellent project management skills. -Passion for building great user experiences and a proven skill to work closely with engineering team. -Great problem solving, strategic thinking and technical skills. -Deep customer empathy and ability to identify customer needs. -Excellent communication skills in interpersonal and cross group. -Technical experiences with software engineering and Microsoft development technology. Nice to have but not mandatory Skills and Qualifications -Familiarity with .NET or SQL. -Knowledge of Product Development Lifecycle. -Experience in System Administration and Data Maintenance. -Experience in Web Development. -Experience with Azure DevOps. -Experience in Cloud Application Development.

維曙智能為創新AI應用開發商，具有全球市場商業化能力。公司有完整的創新孵化管線，包含從想法到技術與市場開發的完整配套流程，讓您將知識落實在各種實際場域中。如果您對以創新解決現實世界問題充滿熱忱，希望了解AI在產業的實務運作以及現實應用有興趣，這裡會是您大展身手的地方。歡迎加入我們。 我們正在尋找一位具備影像處理與深度學習專業的資深 AI / 機器學習工程師，能夠獨立主導模型開發、效能優化與落地實作。此職位需具備優秀的深度學習框架掌握能力，能夠根據資料與任務需求進行模型選擇、訓練流程設計與超參數調整，並具備 AI 產品開發的思維。 【工作內容】 領域：機器視覺 • 負責影像領域 AI 模型的研究、設計與訓練（例如：分類、分割、生成、超解析等任務） • 根據問題需求設計模型架構（CNN / Transformer / diffusion-based models）並進行效能調整 • 透過3D/2D圖學轉換進行多模態資料前處理 • 以深度學習方法, 轉換多模態資料為結構化時間序列資料, 如分類, 辨識, 與異常偵測 • 撰寫可重用模組與封裝良好的 Python 套件，提升團隊研發效率 • 與產品及前後端工程師協作，將模型部署至產品系統或 API • 持續追蹤最新論文與技術趨勢，進行技術導入與內部分享 • 協助 junior 工程師成長並共同解決技術挑戰 • 能針對市場需求提案，論述創新解決方案 維曙機器視覺產品服務請參閱: https://www.vizuro.com/corvus

◈【個人｜這個職位的角色與任務】 ✔︎【我們在找的人】: 我們稱工程師為 技術顧問（TC, Technical Consultant）。這個角色不只是寫程式，更是站在客戶與產品的角度，解決真正的商業問題。 你會深入理解「問題背後的問題」，提出有效的技術解法；有時候，甚至一行程式也不用寫。你將與客戶、Product Owner 一起探討問題的本質，找出最合適的技術、流程或架構解決方案。 這是一份能讓你真正「解決問題」，而不只是「完成任務」的職位。 ✔︎【你會做的事】: ✴︎ 「主動觀察與優化」： 主動觀察現況 ➜ 提出優化 ➜ 推動落地 ✴︎ 「影響力」：透過技術分享、知識傳遞與新工具導入，提升整體團隊的解決問題能力，讓「自己很強」變成「團隊很強」 • 根據客戶需求，設計、開發並維護高效能、高安全性、使用者友善的網路應用程式 • 撰寫與維護產品開發文件，並協助建立維運流程 • 結合產業與產品知識，提出最佳技術解決方案 • 參與產品的輪值式 On-call 支援，並主動推動自動化與預防性改善，增加產品穩定性 • 與團隊共同解決問題，協助推動跨部門或主管交辦的挑戰與任務 ✔︎【你會使用的技術】 ⇒ 我們鼓勵使用最合適的技術解法，歡迎你帶來新技術的視角與實踐 • C# (.NET MVC / .NET Core) • MS SQL / NodeJS • PowerShell • ELK / ECK / Grafana • Git / GitLab / Jenkins • Hangfire / VueJS / HTML / JavaScript / CSS • GKE / AWS ✔︎【待遇與發展】 • 年薪 NT$1,500,000 起（依經驗與能力調整） • 提供有挑戰性的專案舞台與技術決策參與權 • 有機會朝 Solution Owner 或技術領域領導者發展 ――― ◈ 團隊｜我們欣賞的特質 ✔︎【我們欣賞的特質】 • 主動觀察與優化 / 反思能力： 不等待指示，能主動發現系統、流程或協作中的問題與改善機會，積極提出想法與建議、推動改進，讓事情變得更好。 • 影響力：能帶動團隊、傳遞知識，提升整體技術文化 • 問題解決：用策略思維整合技術與資源，解決複雜問題 • 數據驅動：習慣用數據觀察問題、衡量效能與調整方向 • 全局觀：能前瞻性地思考系統架構與長期維運 • 學習與適應：熱愛學習，並樂於讓團隊一起變得更好 ――― 「 我們希望找到願意主動觀察、分享並一起讓團隊變得更好的你。 」 ―――

We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence audio products. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. Responsibilities ● Design machine learning model for audio applications (like noise reduction / speech separation / speech recognition). ● Research and implement appropriate ML algorithms and tools. ● Develop and optimize ML applications according to requirements. ● Run machine learning tests and experiments. ● Perform statistical analysis and fine-tuning using test results. Requirements and skills ● Proven experience as a Machine Learning Engineer or similar role. ● Deep knowledge of math, probability, statistics and algorithms. ● Advanced proficiency with Python; Familiarity with C/C++ is a plus. ● Familiarity with machine learning frameworks (like Keras / Tensorflow /PyTorch) and libraries (like scikit-learn). ● Great communication and collaboration skills. ● Outstanding analytical and problem-solving skills. ● Excellent time management and organizational abilities.