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

協助客戶對數據系統進行技術評估，並設計數據驅動的企業路徑為宗旨。 透過數據轉型創建技術、安全無虞的架構與設計藍圖，結合現代數據技術和雲端服務，展現數據價值。 在這份工作你會接觸地端數據工程與雲端數據工程，著重於零售數據系統之穩定性。歡迎追求系統優化、效能精進有興趣之人才，與我們攜手打造貼近客戶運用之數據服務。 【工作內容】 1. 熟悉資料倉儲與數據湖概念，進行數據清洗、資料整備等相關數據轉換與整合。 2. 熟悉數據工程的ETL流程，處理數據開發、自動化、測試、監控、佈署等相關技術解決方案。 3. 維運和規劃大數據處理系統，以確保日常數據的運作品質之傳輸性、高效性和準確性。 4. 與infra團隊合作，檢視數據存儲和數據架構的設計和維護，以確保數據的安全性和可擴展性。 5. 與零售數據專家領域緊密合作，以確保數據分析的準確性和可靠度。 6. 數據系統囊括雲端與地端技術。 7. 其他主管交辦事項。 【經驗需求】 1. 具備兩年以上數據系統開發與維運管理經驗。 2. 具備兩年以上使用Python和數據庫管理（SQL和no-SQL）的經驗。 3. 具備大數據系統維運和機器學習工具（Scikit-learn、Pandas）的經驗。 4. 具備數據倉庫的設計和實踐經驗，如 SSIS、Analyzer、Redshift、BigQuery 等。 【技能需求】 1. 熟悉SQL/PostgreSQL/Stored Procedure使用與撰寫經驗。 2. 熟悉Python/Java程式開發經驗。 3. 熟悉數據排程、處理、清洗、製作報表的實務經驗。 4. 熟習常用的 Open Source 工具實務經驗。 5. 擅長解決問題、除錯、故障排除，提出問題解決方案。 Assist clients in conducting technical assessments of data systems and design data-driven enterprise solutions. Create secure and modern architectures and design blueprints by leveraging data transformation and integrating modern data technologies and cloud services to unlock the value of data. In this role, you will work on both on-premises and cloud data engineering, with a focus on the stability of retail data systems. We welcome individuals who are passionate about system optimization and performance improvement, and who are interested in collaborating with us to build data services that align closely with customer needs. 【Job Description】This position is part of the Data Center Team. 1. Familiarity with data warehousing and data lake concepts for data cleaning, data preparation, and related data transformation and integration. 2. Familiarity with ETL (Extract, Transform, Load) processes in data engineering, covering data development, automation, testing, monitoring, deployment, and related technical solutions. 3. Maintenance and planning of big data processing systems to ensure the quality of daily data transmission, efficiency, and accuracy. 4. Collaboration with the infrastructure team to review data storage and data architecture design and maintenance to ensure data security and scalability. 5. Close collaboration with retail data experts to ensure the accuracy and reliability of data analysis. 6. Involvement in both on-premises and cloud technologies for data systems. 7. Other tasks assigned by the management. 【Experience】 1. Minimum of two years of experience in data system development and maintenance. 2. Minimum of two years of experience using Python and database management (SQL and NoSQL). 3. Experience in big data system maintenance and machine learning tools (Scikit-learn, Pandas). 4. Experience in data warehouse design and implementation, such as SSIS, Analyzer, Redshift, BigQuery, etc. 【Skills】 1. Proficiency in SQL/PostgreSQL/Stored Procedure usage and writing. 2. Proficiency in Python and Java programming. 3. Practical experience in data scheduling, processing, cleaning, and report generation. 4. Proficiency in using common open-source tools with practical experience. 5. Strong problem-solving, debugging, and troubleshooting skills with the ability to propose solutions.

【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）

· 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

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

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

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.

中光電智能機器人是無人機國家隊核心成員，深耕無人機與機器人領域。於XPONENTIAL Europe 2025推出全球首發HVTOL長航程無人機，展現頂尖研發實力。 擔任台日無人機聯盟協同主席，攜手日本強強結盟，擴展防災、救災與自主飛行測試領域。更榮獲國防部軍用商規無人機標案，助力軍規機型量產，展現國家級戰略價值。加入我們，一起引領無人機與機器人產業革命！ 主要職責 酬載影像處理流程設計與供應商管理、影像校準與測試軟體開發及影像品質驗證 主要任務 1.影像處理流程分析與設計 2.影像品質調校與測試 3.影像校準及視覺輔助分析工具軟韌體開發 4.酬載影像模組規格分析與選型 5.影像模組供應商規格需求討論及進度追蹤

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

1.開發agent與環境互動之模擬器。 技能：Python、Java 2.建立強化學習模型，訓練AI。 技能：Python 3.實作使用者系統： 技能：Java 4.調整模型強度，讓使用者有良好的互動過程。 技能：同理心、想像力。 5.上線後依使用者情況調整AI模型。 技能：同理心、想像力。 *工作技能： 1.具備強化學習的實務建模經驗，知道如何依照任務設計模型架構、選用適合的演算法 2.熟知強化學習過程中可能遇到的挑戰，且能提出解決方案。 3.熟悉Python程式、深度學習的開源函式庫。 4.有建立深度學習經驗，知道如何從無到有建立深度學習模型。 5.有深度學習模型調參經驗，知道當模型表現不佳時如何調參或模型架構。

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 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.

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

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.

1. Assist in performing project proposal tasks including drafting budget quotations. 2. Perform administrative management processes, including business document/ file archiving and management, payment processing, and project closure. 3.Meeting coordination and arrangements, assist in project database integration and update project-related master lists. 4. Assist in participating in biotech/medical-related exhibitions and marketing activities, collect and compile client information and conduct periodic client visits. 5. Provide business projects support and perform other tasks assigned by Supervisors. 6. SOP revised and updated by BD director's instruction.

【主要職責】 - 設計並維護 自動化資料驗證框架（Automation Framework），覆蓋 batch 與 streaming pipeline。 - 針對 Kinesis、Kafka、Airflow、MySQL、Redshift 等環境執行資料驗證與轉換測試。 - 開發與執行測試計畫，驗證資料擷取（Ingestion）、轉換（Transformation）與載入（Loading）的準確性。 - 監控資料流程，偵測並通報資料異常、延遲、遺失等問題。 - 與 Data Engineer 合作解決 pipeline、schema、metadata 相關問題。 - 驗證資料模型、ETL/ELT 流程與商業邏輯的一致性與正確性。 - 建立並維護 QA 文件，包括 Test Case、Runbook、Validation Report。 - 參與資料平台版本釋出與更新，確保新功能與數據流穩定。 - 實作 資料品質指標（Data Quality Metrics） 與警報機制，用於即時與排程任務監控。 【任職資格】 - 3 年以上 Data QA、Data Engineering 或相關經驗。 - 精通 SQL（MySQL / Redshift），能撰寫複雜查詢與資料驗證邏輯。 - 熟悉 Streaming 系統（Kinesis、Kafka）資料流測試與監控。 - 具 Airflow 或其他資料流程編排工具實務經驗。 - 熟悉 Python，用於資料驗證與自動化測試腳本撰寫。 - 理解資料倉儲架構、ETL/ELT 流程與資料建模。 - 有大型資料集處理與效能調校經驗。 - 了解 Schema 演進、Data Contract 與 Metadata 管理概念。 【加分條件】 - 有 AWS 生態系操作經驗（S3、Lambda、Glue、IAM）。 - 熟悉資料治理與法規遵循（GDPR、CCPA）。 - 具測試框架經驗（PyTest、Great Expectations）。 - 熟悉 CI/CD 流程並能應用於資料工作流測試。 【軟技能與團隊特質】 - 對資料準確性、流程穩定性與品質具有高度責任感。 - 細心、有條理，具備優秀的問題分析與溝通能力。 - 樂於與跨部門合作（Data Engineer、Analyst、PM），共同提升資料品質。 - 具持續學習與探索新技術的動能。 【工作地點】 - 台北市（近捷運站） - 提供彈性上班制度與國際化數據團隊合作環境 【我們提供】 - 具競爭力的薪資與年度獎金制度 - 三節禮金與年度健康檢查 - 彈性上下班與混合辦公制度 - 國際化團隊合作與跨國職涯發展機會

• Author automation workflows in Python, the Robot framework, and Powershell to make sure a Windows system with BMC, UEFI, NVidia GPUs can boot correctly. • Run stress tests on said system. • Automate firmware/driver upgrades on said system. • Debug booting/upgrades when an error occurs.

At cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. You’ll develop state-of-the-art library characterization tools for our worldwide customers in an exciting and innovative environment. Position Responsibilities:  Full time in industry leading software development  Involvement in local customer engagements in cooperation with global teams  Develop new product features, including invention, design and implementation new algorithms to build industry leading products Desired Qualifications:  Experiences in EDA/IC industry  Experiences in library characterization, spice simulation, or transistor level timing  Effective communication skills, passion to drive a project and to win customers Additional Job Description  Experience in developing library characterization or circuit simulation software  High level understanding of SPICE simulation transistor models  Experience with distributed programming, database design, and cloud APIs for distributed computing  Proficiency designing data structures, algorithms, and software engineering principles  Experience in developing Machine Learning technology and deploy it at customers

1. 負責生醫檔案解讀及資料收集分析 。 2. 開發雜訊處理演算法。 3. 演算法以及模型測試。 4. 跨部門的專案合作開發。 5. 演算法規劃與開發文件撰寫。

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

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.

【 關於 meepShop 】 2013年成立至今已有12年，擁有超過3萬間的店家們加入我們的行列。 合作夥伴包括 W Hotel、貴族世家、藝人徐曉晰、紅葉蛋糕、力麗威斯汀度假酒店 等知名品牌。 【 使命 】 我們要建立一個"活"的電子商務平台，並執行一場電子商務的革命！ meepShop 朝向發展「全球化」的公司邁進，目標是成為一個國際級的品牌， 這個目標需要大家團結起來支持一整個團隊。 我們希望與各界最優秀的人才一同工作，並用聰明、有效率的工作模式，與加入的夥伴一同成長。 【 CEO Jack 】 您可從創辦人Jack blog 中，了解到meepShop 公司文化和思維，與電商19年經驗的創業分享。 創業部落格：https://mrjk.me --- 【你/妳在 meepShop 的工作任務是什麼呢?】 ●JavaScript / Typescript ●Node.js ●PostgreSQL（或是其他關聯式資料庫） ●Shell Script ●GCP Pubsub （或是其他 Message Queue 技術） ●Linux 操作經驗 ●Docker（實際撰寫 dockerfile） ●Git ●熟悉 Go, Java 【我們想要找尋的人才】 ● 2 年以上 Backend 開發經驗 ● 熟悉後端開發 ● 熟悉單元測試與整合測試，並具備敏捷開發經驗 ● 強調 Algorithm / 善用 Design Pattern / 避免 Reinvent the wheel ● 擅長系統架構設計，並能提出多種可行性架構作法 ● 持續對產品開發流程進行改進與優化，提高開發能力和效率，並能通過技術提升用户體驗和可用性。 ● 熟悉遠端團隊合作 / 自我時間管理經驗 ● 優異的溝通及文件能力 ● 良好的英文讀寫能力 【加分條件】 ● 電子商務/ 金物流 / 數位行銷等相關系統開發經驗 ● HTML5 / CSS3 / Javascript（ES5/6/7）/ NodeJs / Typescript / Golang ● Restful / GraphQL / gRPC ● Kubernetes, Docker, GCP ● PostgreSQL ● Redis ● ElasticSearch ● CI/CD