「F0169 - AI 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 looking for a talented programmer to serve our client who is Global Top-Tier IT company. You may have to provide quality coding solutions from simple applications to complex algorithm. The ideal candidate will have a passion for software technology and customer business requirements. Attention to details and an analytical mind are essential qualities for a successful career in programming. The goal is to design and build superior and innovative software by writing clean and flawless codes. Programmer Job Duties: 1. Collaborate with client and consultants to review program objectives and requirements 2. Design program logic and algorithm with functionality and performance in mind 3. Write quality codes and conduct testing/debugging 4. Perform software version control and revision history maintenance 5. Document technical design documents and user operating instructions. 6. Handle multiple assignment in parallel according to their priorities Programmer Skills and Qualifications: 1. Computer Science related education background and/or proven programming skill 2. Fluent in English, including oral communication and writing. Working/living experiences with foreigners are preferred 3. Programming skills in C# and/or VB script, SQL 4. Experiences with complex algorithm design and data structure are preferred 5. Problem Solving skill with logical and analytical thinking 6. Fast learner and team player

We’re looking for a Junior Data Scientist to join our OPS BI DAS team! You’ll work on real AI applications that drive Shopee’s operations — from fraud detection, product review automation, and customer service classification to invoice/payment risk analysis and anti-money laundering 【 What you’ll do】 -Support and optimize existing NLP/CV/LLM models (LSTM, BERT, Vision Transformer, etc.) -Conduct data analysis & monitor model performance -Collaborate with cross-functional teams to bring AI into real business workflows -Contribute to new model design & development 【What we’re looking for】 -Background in CS, Statistics, Data Science, or related fields (internship or project experience welcome!) -Proficiency in Python, with hands-on experience in ML/DL frameworks (PyTorch/TensorFlow) -Familiarity with NLP models (e.g., BERT, LSTM) -Curious, proactive, and eager to apply AI in real-world scenarios

1. Layout & Plan UI: Cowork with UI/UX Team to fit customer requirements. 2. Integration and Development: Use and modify proprietary framework to integrate AI models into production and ensure smooth deployment to customer requirements. 3. Documentation & Maintenance: Document stuff(processes/algorithms/results) for sharing and maintain commitments of projects.

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.

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。 您將成為我們 AI 解決方案研發的核心成員。作為數位雙生AI工程師，您將負責在 Sim2Real 平台（如 NVIDIA Isaac Sim、ROS/Gazebo）上測試並驗證 AI 模型與機器手臂系統的整合，並將模擬中成功運行的控制程式部署至實體機台。和不同團隊合作(AI團隊，硬體團隊)優化與測試模型與控制演算法，完成跨部門專案整合與系統調校。 【主要工作內容】 • 使用 NVIDIA Omniverse 平台進行機器手臂建模、運動規劃（正/逆向運動學、避障與優化）及控制程式開發 • 建置與優化模擬環境與數位孿生場景，確保模擬與實體機台行為一致 • 與AI研發團隊合作，將機器手臂模擬系統與公司 SDG（Synthetic Data Generation） 技術串接，用於資料生成與 AI 模型訓練 • 撰寫、維護與優化控制演算法及相關模組，提升系統穩定性與效能 • 與硬體團隊協作，將模擬成果部署至實體機台並進行驗證 • 參與跨部門專案，支持產品研發與驗證流程的自動化。 維曙機器視覺產品服務請參閱: https://www.vizuro.com/corvus

【工作內容】 1.負責高科技業客戶生產數據相關系統開發、翻寫及維護。 2.與團隊協作及分工，採用Scrum架構進行開發工作。 3.進行單元測試(撰寫測試腳本) 【技能】 1.1年以上開發經驗(具備下述前端及後端任一技術能力者可洽談) 2.熟悉後端開發框架:JAVA Sringboot 或 Python (FastAPI) 3.熟悉前端開發框架:React 或Angular 4.熟悉Kuberates (Container 運作) 5.熟悉Git操作 6.了解 Airflow, Conductor (Option) 7.熟悉Oracle DB,MariaDB,MongoDB, PosgreSQL (Option) 8.具備前述(2,3)技能之全端開發經驗者優先錄取

Job Description Expect more. Connect more. Be more at Diebold Nixdorf. Our teams automate, digitize, and transform the way more than 75 million people around the globe bank and shop in this hyper-connected, consumer-centric world. Join us in connecting people to commerce in this vital, rewarding role. We are seeking a talented UI/UX Software Engineer to join our dynamic team. The ideal candidate will be responsible for designing and implementing user interfaces that provide a seamless and visually appealing user experience. This role involves close collaboration with back-end developers, designers, and product managers to ensure the integration of design with backend functionality. This includes activities to configure the system behaviour by defined specification, cooperate on project documents (specification, diagrams, flows, documentation), contribute to the integration phase of a project, and communicate within a development team and with the project manager, solution architect and customer. Participate on the building, configuration and deliver software that manages ATMs and other banking operations. This is a hybrid role, with a blend on working in the office and at the customer’s site. Responsibilities Design and Implementation: Create and implement user interface components for web and mobile applications using JavaScript, HTML5, and CSS3. User Experience: Translate product requirements into user-friendly interfaces, ensuring the technical feasibility of UI/UX designs. Optimization: Optimize applications for maximum speed and scalability. Collaboration: Work closely with other team members to deliver high-quality solutions. Testing and Maintenance: Perform user interface compatibility tests across different browsers and environments, and update applications as needed. Documentation: Develop and maintain documentation regarding user interface design and coding. Qualifications Education: Bachelor's degree in Computer Science, Graphic Design, or a related field. Experience: Several years of experience in UI/UX design and development, with a strong portfolio demonstrating proficiency in tools like Adobe Creative Suite, Sketch, and InVision. Skills: Proficiency in HTML5, CSS3, JavaScript, Figma and a deep understanding of user interface design principles and software development methodologies. Soft Skills: Strong communication, analytical, and problem-solving skills. 期待更多。連接更多。在 Diebold Nixdorf 有更多。 在這個超連結、以消費者為中心的世界中，我們的團隊為全球超過 7,500 萬人提供自動化、數位化和轉換銀行與購物方式的服務。請加入我們的行列，擔任這個重要且有價值的職務，將人與商業聯繫起來。 我們正在尋求一位優秀的 UI/UX 軟體工程師加入我們充滿活力的團隊。理想的應徵者將負責設計和實作使用者介面，提供無縫且視覺上吸引人的使用者體驗。此職務需要與後端開發人員、設計師和產品經理密切合作，以確保設計與後端功能的整合。 這包括依據定義的規格配置系統行為、合作撰寫專案文件（規格、圖表、流程、文件）、為專案的整合階段貢獻心力，以及在開發團隊內與專案經理、解決方案架構師及客戶溝通。參與建立、配置及交付管理自動櫃員機及其他銀行作業的軟體。 這是一個混合職務，混合了在辦公室和客戶現場的工作。 職責 - 設計與實作： 使用 JavaScript、HTML5 和 CSS3 為網頁和行動應用程式建立並實作使用者介面元件。 - 使用者體驗： 將產品需求轉換為使用者友善的介面，確保 UI/UX 設計的技術可行性。 - 最佳化： 優化應用程式，以達到最高的速度與擴充性。 - 協作： 與其他團隊成員密切合作，提供高品質的解決方案。 - 測試與維護： 跨不同瀏覽器和環境執行使用者介面相容性測試，並視需要更新應用程式。 - 文件： 開發和維護關於使用者介面設計和編碼的文件。 資歷 - 教育程度： 電腦科學、平面設計或相關領域的學士學位。 - 經驗： 數年的 UI/UX 設計與開發經驗， - 技能： 精通 HTML5、CSS3、JavaScript、Figma，對使用者介面設計原則和軟體開發方法有深刻的了解。 - 軟性技能： 良好的溝通、分析及解決問題能力。

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

Synology's product developers design cutting-edge products used by millions of users worldwide. Our extensive portfolio, including data storage, networking, and surveillance products, is powered by our own software solutions, giving us a distinct edge in the competitive market. We're actively seeking engineers capable of making a significant impact, bringing fresh and diverse ideas to further strengthen our team. Data plays a pivotal role in driving modern businesses, economies, and societal advancement. Every second, an immeasurable amount of data is generated, with only a fraction of it being captured. At Synology, we specialize in designing data management solutions specifically crafted to empower businesses in their pursuit of innovation. As a Product Developer within one of Synology's core software teams, you will have the opportunity to work on the fundamental functionalities that underpin our storage solutions. Your contributions will be instrumental in shaping the future of our products. You will: - Developing robust and high-performance subsystems for Synology DSM (DiskStation Manager) - Creating efficient system monitoring solutions - Profiling and optimizing the performance of file-level protocols and block-level protocols

1. 設計 CloudMosa 雲運算平台架構與 Remote Rendering 演算法。 2. 規劃並實作 Puffin Browser、 Cloud Phone 等各式產品與系統。

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、車用產品、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 團隊。 【主要工作職責】 1. 設計、開發和實現自動化視覺檢測系統，進行產品檢測、手臂取放料姿態估測等。 2. 能夠解決機器視覺中的問題，例如圖像處理、特徵提取、圖像匹配和目標檢測等。 3. 視覺檢測開發工具以及監控軟體開發，方便操作者快速調整演算法及參數並提供即時監控。 4. 確保檢測系統能夠正常運行，提高生產效率，分析誤判問題。 5. 與團隊成員緊密合作，以確保項目按計劃完成。 6. 研究新的技術和解決方案，以提高系統的性能和穩定性。

關愛醫護，挑戰全球性問題 ── 期待你的加入！ 在這個瞬息萬變的時代，我們的團隊正致力於解決醫護過勞、醫療供給跟不上需求的嚴峻問題，並以此追求全球市場商機，留下令人矚目的legacy。這個醫病雙輸的困境不僅考驗著我們的智慧，更關乎無數生命健康的重大影響。特別在疫情過後，大量優秀的醫護人員離開崗位後不復返，這讓我們深感迫切，需要投入更多腦力與熱情來攻克這個挑戰。 我們的團隊集結了一群在醫療、數據、AI科技等領域的專業好手。經過深入的臨床洞察，將我們擅長的speech recognition、natural language processing、image recognition等尖端技術，轉化為Medical SIRI+GPT提昇醫療效率與準確性，同時減輕醫護人員的負擔。首發產品”EVAS內視鏡智能醫師助理”已成功導入日本排名第一的國立癌症研究中心醫院，以及多家台灣醫學中心與診所。 公司創辦人廖威宣醫師 ，擁有十多年臨床經驗權威醫師，同時他也是麻省理工學院Sloan MBA校友，曾在國內外不同醫療科技公司擔任副總與顧問職位。廖醫師放下主治醫師與大公司主管的職位，肩負著一群醫護朋友的期待，積極組織了這樣一個天賦滿點的團隊。多年來，我們團隊的努力獲得了國內外權威醫師的讚譽與大廠邀約，成果非凡。 如今，我們正迅速擴充團隊，邀請更多有志之士的加入，共同攜手打造更美好的未來。在這裡，你將有機會參與解決具有全球意義的挑戰，並發揮你的專業天賦，成就卓越的事業。如果你渴望挑戰自我、不畏艱難，且熱愛為社會做出貢獻，我們誠摯地邀請你加入我們的行列。 我們期待在這個充滿活力與熱情的團隊中，共同創造出不平凡的未來。立即加入我們，一同開創醫療科技領域的新里程！ ▌工作內容 1. 深入研究大型語言模型（LLM）、AI語音辨識，找到最佳的應用方法，以解決特定領域和任務的挑戰。 2. 利用現有工具（如LLama2）或結合不同套件，開發公司產品所需的AI功能。 3. 持續追蹤最新的AI論文和技術，評估其在實際應用中的可行性。 4. 與其他工程師密切合作，參與數據處理、模型訓練和模型部署的工作。 ▌符合資格 1. 擁有一年以上的文字分析相關專案開發經驗。 2. 具備對語言模型（如BERT、GPT、Transformer等）運作原理深入了解，並具有建立預訓練語言模型或fine-tune語言模型以優化文字分析任務的實務經驗。 3. 熟練使用Python，具備深度學習專案開發經驗，並熟悉深度學習框架的使用（例如PyTorch、Tensorflow），且有實際建立、訓練和應用模型的經驗。 4. 具有卓越的邏輯思維能力，熱愛團隊合作，並富有責任感。 5. 對新技術和工具保持好奇心，樂於學習和適應。

工作內容: - 開發與維護 MCP Server （Model Context Protocol Server），與 LLM Client 進行資料交換與指令執行。 - 依照需求開發 API 與資料流邏輯，實現與外部服務或 API 的整合。 - 使用 Docker 建立可重現且可部署的 MCP Server 環境。 - 撰寫單元測試、整合測試，確保系統穩定與效能最佳化。 - 撰寫技術文件，維護架構與開發流程紀錄。 必要條件 - 熟練使用 Java 進行後端開發 - 熟悉基本資料庫（SQL / NoSQL）操作。 - 具備 Git 版本控制經驗。 - 基本 Linux 操作與 Shell Script 能力。 加分條件 - 有Model Context Protocol (MCP)相關開發經驗（如 MCP Server、MCP Tool、MCP Client）。 - 熟悉 MCP Server 串接流程與除錯技巧。 - 熟悉大型語言模型（LLM）與 AI 應用開發。 - 熟悉 Docker 容器化開發與部署流程尤佳 - 略懂Python、Node.js尤佳

SMT工作內容： - AOI 自動光學檢測 - 操作設備及排除故障並提升品質及稼動率 - 3D AOI 機台程式撰寫和設備操作生產 DIP 工作內容： - 波峰焊爐機台操作及異常排除 - 選焊爐程式製作

About TXOne Networks TXOne Networks provides cybersecurity solutions for ICS and OT environments using the OT zero trust methodology. We collaborate with top manufacturers and infrastructure operators to develop practical defense strategies that eliminate security vulnerabilities in industrial settings. TXOne ensures the availability of industrial systems by mitigating cybersecurity challenges that can disrupt operations. Our solutions empower customers to benefit from networked control systems while maintaining operational resilience, personnel safety, and asset security. TXOne Networks is honored to be named again as one of the 10 Coolest IoT Security Companies by CRN in Mar 2025. Job Summary As a TXOne AI Engineer in AI team, you will be part of a high performance team that focuses on ICS and OT Cybersecurity solutions. We are seeking a highly skilled AI Engineer to work with product/security team in developing advanced AI-driven security solutions. The ideal candidate will bring a deep understanding of machine learning (ML), deep learning (DL), and Generative AI (GenAI) concepts, with a strong ability to implement practical applications. This role involves designing and implementing models that can process and analyze data derived from various sources, including files and network packets. The successful candidate will possess strong hands-on coding skills, proficiency in AI frameworks such as TensorFlow or PyTorch, and experience in transforming raw data into actionable model inputs for predictions and inference. Key Responsibilities Your role may be in one or more of these areas: • Research and select the most suitable machine learning or deep learning models based on use-case requirements, data patterns, and performance needs. • Develop and deploy AI/ML models tailored for security applications, ensuring they can accurately interpret and process data from diverse sources such as files and network packets. • Design and optimize preprocessing pipelines to transform raw data into high-quality input for AI models. • Collaborate with security experts to understand data patterns, threat vectors, and operational requirements, applying this understanding to enhance model design. • Develop tools to visualize, test, and validate AI model performance and ensure they meet security industry standards. • Collaborate with the engineering team to integrate AI models into security products, ensuring reliable performance and scalability. • Stay up-to-date with the latest advancements in AI, ML, and security technologies, recommending improvements to maintain a competitive edge. Why TXOne Networks? - Shape the Future: Be part of a team that’s at the forefront of Networking Security technology. - Collaborative Environment: Work with dynamic and talented professionals who are passionate about innovation. - Impactful Role: Play a critical role in driving the success of our groundbreaking products. Ready to make your mark in Networking Security? Join TXOne Networks and be a catalyst for the future of connectivity! Equal Opportunities Statement At TXOne Networks, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. We like to have fun while taking our culture seriously. We are an equal opportunity employer and are committed to this regardless of race, colour, religion, sex, nationality, age, citizenship, sexual orientation, marital status, gender identity or veteran status. We do not allow discrimination or harassment of any kind.

★ 加入 Moxa 技術菁英養成計畫，開啟你的工業網通職涯 此計畫是 Moxa GTS 團隊 (Global Technical Service Center) 推動的長期人才計畫 為優秀人才量身打造完整的培訓與發展途徑 帶你從基礎開始，逐步成為產業所需的技術專家 這不只是一份工作，更是一段紮實的技術力成長旅程 在這裡你將收穫三大技能： ▶ 專業技術硬實力：深入理解網通產品設計與原理，奠定厚實專業知識基礎 ▶ 客戶顧問軟實力：快速問題分析、需求洞察，培養解決問題的核心能力 ▶ 跨國/跨團隊協作能力：與世界各地專家與客戶協作，認識國際市場，創造雙贏 計畫亮點： ▶ 學習資源：產業專家親自指導，與優秀同儕相互切磋，加速成長 ▶ 跨國視野：協助解決全球客戶的技術挑戰，與國際團隊協作 ▶ 循序成長：從 Technical Support Engineer (TSE) 起步，逐步晉升為 Sr. TSE ▶ 技術舞台：參與新產品測試、回饋產品改善，影響下一代工業網通產品 更多GTS Farming Program 資訊 ➝ https://www.moxa.com/tw/promo/Careers/GTS-Farming-Program/index.htm 【工作內容】 1. 分析技術問題並提出解決方案（含遠端協助） 2. 協助新產品測試與解決方案驗證 3. 蒐集使用者回饋並提出產品改善建議 4. 提供全球分公司與合作夥伴技術訓練

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to the next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons, all while shaping the future of connectivity. Responsibilities - Perform electrical validation of high-speed interfaces such as PCIe Gen3~Gen5, Ethernet (802.3 10G/25G/100G/400G), DDR4/5, SATA, and USB3 - Perform electrical validation of low-speed interface, including I2C, SPI, MDIO, eMMC, and RGMII. - Perform chip-to-chip SerDes signal validation, including SGMII+, UXSGMII interfaces. - Plan and execute power testing strategies for multiphase power stages and DC buck converters. - Perform power integrity validations, including ripple noise analysis, power sequencing verification, electronic load (E-load) operation, and power supply unit (PSU) evaluation. - Develop and execute test scripts under Linux environments, familiar with shell commands and automation scripting. - Collaborate with the HW team and chip vendor to define and document SI/PI validation plans and requirements. - Analyze and identify SI/PI issues, and work closely with HW, FW, layout teams, and chip vendors to develop improvement solutions that enhance electrical performance and signal integrity quality. Requirement - Solid experience with SI test equipment (oscilloscope, BERT, VNA, TDR). - 3+ years of hands-on experience in Signal Integrity, and SerDes/PCIe/USB/DDR validation. - Solid understanding of compliance testing methodologies, eye diagram, and litter analysis. - Strong understanding of low-speed interface protocols and comprehensive experience in AC/DC characteristic validation. - Bachelor’s/Master’s degree in Electrical Engineering, Electronics, or related fields. - Excellent problem-solving skills, ability to debug SI/PI issues, and strong cross-functional communication with HW design and layout teams. Preferred Qualifications - Experience working on system-level signal validation in server, networking, or storage platforms with high-speed interfaces. - Familiarity with Power Integrity validation, including power sequence, ripple noise, OCP, and SCP testing. Benefits - International work environment and collaboration with global development teams - Excellent work conditions - Competitive package: great pay, perks, and benefits - Group insurance and health coverage - Flexible working hours and patterns - Complimentary drinks and snacks at the office

JOB RESPONSIBILITIES: - Translate Python code to android platform runnable C++ lib - Integrate the lib into Pixel platform - Develop command line script to enable/disable the lib - Measure the latency and power on the Pixel platform - Analysis the scaler and vector computation distribution in a lib Minimum Qualifications: - Bachelor's degree in computer science, engineering, or a related field - 3+ years of experience in web frontend GUI development - Programming skills in Python, C++ - Good communication and interpersonal skills Preferred Qualifications: - Master's degree in computer science, engineering, or a related field - 3+ years of full-stack developer experience - Programming skills in JavaScript, Python, C++ - Experience with web frameworks, Angular, React, Node.js - Experience with android platform driver development English proficiency requirements: - Ability to understand spoken and written English. - Ability to communicate in meetings, phone calls, and emails. - Ability to write clear and concise English documents.

Responsibilities: 1. Develop and optimize image processing algorithms, including but not limited to image segmentation, enhancement, feature extraction, etc. 2. Apply generative AI techniques (e.g., GANs) to create and improve image/video. 3. Design and implement deep learning models, conducting experiments and fine-tuning to improve image processing and performance. 4. Collaborate with cross-functional teams to apply AI technologies to real-world business problems. 5. Stay updated with the latest AI research trends and explore how cutting-edge technologies can be applied to company products. 6. Write efficient, maintainable code and produce technical documentation and reports. Qualifications: 1. Master’s degree or higher in Computer Science, Electrical Engineering, Mathematics, or a related field. 2. Proficiency in image processing techniques such as image enhancement, feature detection, segmentation, and filtering. 3. Strong understanding and practical experience with generative AI technologies. 4. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and practical experience with these tools. 5. Proficiency in Python programming, capable of efficiently developing and deploying AI models. 6. Strong data processing and analysis skills, with experience using tools like NumPy, OpenCV, etc. 7. Strong mathematical foundation, especially in machine learning and computer vision. 8. Good teamwork and communication skills.

Cloud Infra Automation: Design and deploy infrastructure on bare metal or cloud using Terraform, Ansible, or Helm. Automate workflows with Python or Go. Platform Reliability: Maintain and scale GPU clusters, Kubernetes, and AI-optimized storage (Ceph, BeeGFS, Weka) to ensure stability and performance. Monitoring & Alerting: Use Prometheus, Grafana, ELK, etc., to monitor system health and trigger alerts on anomalies. Capacity Planning: Analyze usage patterns and forecast infrastructure needs for AI workloads. Incident Management: Lead root cause analysis and manage SLOs/SLIs/SLAs to maintain high availability. CI/CD Integration: Work with DevOps/MLOps teams on CI/CD pipelines using GitLab, ArgoCD, or similar tools. Security & Compliance: Secure Linux systems, manage certificates, and enforce access controls (RBAC, LDAP SSO, TLS, segmentation). Documentation & Playbooks: Maintain architecture diagrams, runbooks, and incident playbooks to support knowledge sharing and onboarding.