「AI晶片系統架構-資深工程師[高於上市公司年薪中位數]」的相似工作

※實際任用職稱依個人相關經歷敘薪。 1. 熟悉Display Driver IC 原理. 2. 可獨立完成Charge Pump design. 3. 可獨立完成Band Gap, Regulators , LDO circuit design. 4. 熟悉類比電子電路專業知識如OP-AMP的設計 5 .個性主動積極、熱誠 、樂觀 . 6. 8~10年經驗 7. mipi. lvds frontend 設計與 debug 經驗尤佳

【工作內容】 • Work with team members and apply current functional verification techniques to perform and improve pre-silicon verification quality and product Time to Market • Provide the technical leadership to the DV team for the project • Work independently on various DV tasks and provide technical guidance to the DV team. • Be involved technically in the porting/creation of the DV environment for the new design, block and chip level test plan creation and implementation, coverage analysis, and regression cleanup 【職務條件】 • Master’s degree in Electrical Engineering, Computer Science, or related. • Good understanding of ASIC design verification flow. • RTL coding with Verilog/System Verilog and familiar with front-end design flow and C/C++ programming experiences. • Knowledge of Perl, OVL, SVA, SV, UVM, OVM, script programming, etc. 【其他條件】 • MSEE with a minimum of 5 years, or BSEE with a minimum of 8 years of experience in digital ASIC/SOC design verification • MS/BS degree in EE or CS with expertise in digital IP/SOC design verification.

1.帶領工程團隊，負責產品設計、開發、修改與測試，確保技術目標達成。 2.監督機械、電子、IC 設計、儀器設備與系統開發等技術領域。 3.協助專利申請、提供製造建議，並與各部門合作支持產品推出。 4.培養團隊成員，分配目標並追蹤績效。 5.與客戶溝通需求，做出自主決策，解決複雜問題，確保組織目標達成。

我們正在尋找對AI訓練師充滿熱情的實習生加入我們的團隊！作為AI訓練師實習生，您將有機會參與設計AI驅動的互動流程和界面，確保產品的用戶友好性和高效性。 工作內容： 設計AI驅動的互動流程和界面，確保產品的用戶友好性和高效性。 與產品經理、開發工程師緊密合作，確保設計方案的可行性和目標一致性。 進行客戶研究和可用性測試，並基於反饋優化設計。 探索最新AI技術和設計趨勢，推動創新提升產品競爭力。 定期分享知識，指導和激勵團隊成員。 職位要求： 對AI訓練師充滿熱情，有願意學習和成長的態度。 具備良好的團隊合作能力和溝通能力。 對最新的AI技術和設計趨勢有興趣和瞭解。 能夠獨立思考和解決問題。 加分條件： 具有生成式AI經驗，尤其是大語言模型和RAG，並擁有實作專案經驗，具備豐富的NLP及AI知識、卓越的領導力與組織能力，以及出色的表達能力。 福利待遇： 實習期間有專業的導師指導和培訓。 有機會參與多元化的項目和團隊活動。 提供有競爭力的實習薪酬和福利。 如果您對AI訓練師充滿熱情，並且希望在一個充滿挑戰和成長機會的環境中工作，歡迎您加入我們的團隊！

1.利用資料庫工具(如SQL, PostgreSQL, MongoDB等)建立機構部件資料庫； 2.提供機構部件資料協助產品規劃人員完成產品規劃； 3.協助機構設計人員提供資料查詢； 4.協同AI發展中心建構機構KB。

【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。 【Why join the team? 】 Hytech 團隊在共事的過程中核心技術會與時俱進，即時討論，並且有良好的溝通管道，扁平化管理，任何問題或意見都可以討論及合作解決。密切的與跨國同事團隊交流。 【About the role - Data Analyst】 As a Data Analyst at Hytech, you will analyze user behavior on financial trading platforms, focusing on app users and their growth journey, including conversion and retention metrics. You will leverage insights from user behavior data to optimize engagement channels—such as push notifications—driving the conversion of registered users into funded, active traders. (作為 Hytech 的數據分析師，您將負責分析金融交易平台上的用戶行為，專注於應用程式用戶增長過程，包括轉化與留存指標。您將運用數據洞察優化平台渠道，例如透過推播通知，提升用戶參與度，並促使一般用戶轉化為活躍交易者) 【身為團隊的一份子您將負責】 1. Develop, implement, and maintain leading analytical systems to solve complex problems and build simplified frameworks. (開發、實施並維護領先的分析系統，以解決複雜問題並建立簡化框架) 2. Analyze complex datasets to identify growth trends and opportunities. (分析複雜數據集，識別增長趨勢與商機) 3. Evaluate organizational methodologies and provide source-to-target mapping and information model specification documents for datasets. (評估組織方法，提供數據集的來源到目標映射，以及資訊模型規範文件) 4. Create best-practice reports based on data cleansing, analysis, and visualization. (基於數據清理、分析與可視化，建立最佳實踐報告) 5. Assess the efficiency, issues, and inaccuracies of internal systems, and establish and maintain standard processes for handling, processing, and cleansing data. (評估內部系統的效率、問題與不準確性，制定並維護數據處理、整理與清理的標準流程) 6. Collaborate directly with management and users to gather requirements, provide status updates, and build strong relationships. (直接與管理層及內部用戶合作，收集需求、提供狀態更新，並建立穩固的合作關係) 7. Work closely with project/product managers to understand and continuously address their analytical needs, including identifying key metrics and KPIs, and providing actionable insights to relevant decision-makers. (與專案/產品經理密切合作，了解並持續關注其分析需求，包括識別關鍵指標與 KPI，並向相關決策者提供可行的數據洞察) 8. Proactively analyze data to respond to key stakeholder questions or spontaneous inquiries, focusing on factors driving business performance and investigating and communicating areas for improving efficiency and productivity. (主動分析數據，回應關鍵問題或突發性需求，關注推動業務績效的因素，並調查與溝通可提升效率與生產力的改進方向) 9. Interpret and analyze data to create and maintain interactive visualizations, integrating various reporting components from multiple data sources. (解讀與分析數據，建立並維護互動式視覺化報表，整合來自多個數據來源的各類報告元件) 10. Define and implement data acquisition and integration logic, selecting appropriate methodologies and toolsets to ensure optimal scalability and performance within the defined technology stack. (定義並實施數據獲取與整合邏輯，選擇適當的方法與工具組合，確保解決方案在既定技術架構下達到最佳的可擴展性與效能)

1. X86 server platform design. 2.SAS/SATA/NVMe back plane design and PCIe riser design. 3. Schematic drawing/review, layout constraint/review, signal measurement ,and debug. 4. Hardware specification writing. 5. New technology specification study.

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

本公司核心為AI技術解決方案，改變人們的生活品質，目前致力研發專注於智慧助聽技術與人工智慧視覺應用類別的產品。 【工作內容】 1. 結合深度學習（DL）與傳統電腦視覺，研發影像強化、物件偵測、物件分割等相關技術，並實作於 Edge Device。 2. . 完成主管交辦事項。 【職務需求】 1. 具備人工智慧與電腦視覺開發經驗。 2. 熟悉 C/C++ （尤佳）。 3. 熟悉 OpenCV。 4. 至少擅長一項深度學習框架 （如：Pytorch、Tensorflow）。 5. 具 Git 版本控制知識。 6. 具獨立開發能力。 7. 具良好團隊合作能力，有意願與團隊夥伴分享技術知識。 【加分項目】 1. 具 Embedded System 系統整合經驗。 2. 有布署 AI 模型至嵌入式系統經驗。 3. 熟悉 AI 模型剪技、量化、蒸餾等。

工作內容： 1. 將AI ISP 影像處理模型部署至車用控制器平台（如 Qualcomm、NVIDIA、黑芝麻、MTK及各家NPU 等），確保AI模型在各類平台穩定運行。 2. 依據產品需求，評估模型在 GPU、CPU、NPU 等運算單元上的算力需求與資源佔用，進行性能分析與優化。 3. 與 AI ISP 演算法開發人員合作，完成模型移植、壓縮、加速與平台適配。 4. 針對不同平台環境進行測試與調優，確保模型滿足車用場景的即時性、穩定性與可靠性要求。 5. 參與車載系統軟硬體整合，協助解決模型部署過程中的技術問題。 6. 持續關注車用 AI SoC、NPU 與 ISP 平台的最新技術動態，熟悉各家平台與NPU使用方式，並提出相關改善與升級建議。 技能描述： 1. 資訊工程、電機電子工程、光電工程、影像處理等相關專業碩士及以上學歷。 2. 5年以上AI 模型開發或平台部署經驗。 3. 熟悉深度學習模型部署流程，具備 TensorRT、ONNX Runtime、TVM 或類似工具的經驗。 4. 具備 C/C++、Python 程式開發能力，了解嵌入式 Linux 環境。 Responsibilities: 1. Deploy AI ISP models onto automotive computing platforms (e.g., Qualcomm, NVIDIA, Black Sesame, MTK and NPU-based platforms), ensuring stable runtime performance. 2. Evaluate computational requirements and system resource usage (GPU, CPU, NPU, etc.) based on product needs, and perform resource consumption and performance optimization. 3. Collaborate with AI ISP algorithm developers to handle model porting, compression, acceleration, and platform adaptation. 4. Conduct testing and fine-tuning across different automotive platforms to guarantee real-time, stability, and reliability standards. 5. Support software-hardware integration for automotive systems and troubleshoot deployment-related technical issues. 6. Stay updated with the latest automotive AI SoC, NPU, and ISP platform technologies, providing insights for improvements and upgrades. Skills Qualification and Experience: 1. Master's degree or above in Computer Science, Electrical/Electronic Engineering, Optoelectronics, Image Processing, or related fields. 2. Minimum of 5 years of experience in AI model development or platform deployment. 3. Familiar with deep learning model deployment workflows, with hands-on experience in tools such as TensorRT, ONNX Runtime, TVM, or similar frameworks. 4. 4Proficient in C/C++ and Python programming, with a solid understanding of embedded Linux environments.

Responsible for digital IP coding and micro-architecture design of low-power, high-performance LLM inference accelerators. Drive mapping of lightweight frameworks such as llama.cpp onto NPU, plan compute/memory subsystems, and optimize quantization & KV-cache for production-ready LLM SoCs. Write RTL specs and guide DV plans and P&R convergence for PPA targets. 1. 研讀規格。 2. IC數位邏輯線線路的研發設計。 3. IC數位邏輯線路模擬與合成。 4. FPGA的合成規劃與測試驗證。 5. IC的靜態時序分析 (Static Timing Analysis)。 6. IC佈局後的線路模擬。 7. 撰寫IC規格設計書。 8. IC的除錯與工程變更修改。 9. 協助系統應用部門的進行IC驗證版的規劃。

Reponsibility • Actively clean, process, and validate data streams for ML model consumption. Contribute to the implementation of MLOps best practices (CI/CD) and risk mitigation strategies as guided by the engineering team. • Actively develop and implement Python scripts and small utilities for model features and basic algorithm testing. Ensure development practices align with model fairness and ethical guidelines. • Establish and track technical Key Performance Indicators (KPIs) to measure model effectiveness post-deployment. Document and report potential technical risks identified during implementation. • Create and maintain a single source of truth for all active carrier/vendor technical requirements and specifications. Support the definition of project scope, timelines, and milestones. • Act as the central liaison between engineers, data scientists, and business stakeholders. Translate incoming high-level partner requests into clear, detailed, and actionable engineering specifications and tickets. • Provide regular, concise updates for stakeholders on project progress, key metrics, and any blockers. Minimum Qualification • Proficiency in programming Python, Database(SQL, Vector Database) and GCP(Google Cloud Platform). • Familiar with AI Agent, Agentic AI, MCP, A2A, Context Engineering • Experience with implementing machine learning algorithms in practice at scale. • Good communication skills and a positive attitude to work with stakeholders. • Proficient English speaking, reading, and writing ability. • Minimum 7 years experience in an AI-related role. Working location: Banqiao or Xin-dian

✅About the job This role seeks a highly driven individual to collaborate with Skymizer's clients in effectively integrating and utilizing Skymizer LPU IP within their ASIC SoCs/systems for cutting-edge products. This position presents exciting opportunities to engage with cutting-edge Skymizer IP and the latest industry standards alongside industry-leading clients. ✅Key Responsibilities Key responsibilities include providing technical guidance to clients throughout their SoC development process to overcome integration challenges, conducting integration reviews, and offering support during silicon/system bring-up and troubleshooting phases. • Resolving complex technical challenges related to homogeneous and heterogeneous multi-core processors. • Providing technical support to customers utilizing Skymizer LPU IP and SoC platforms. • Guiding customers in transitioning to the latest generation of processors and optimizing their usage. • Creating and publishing technical articles, application notes, and white papers. • Conducting hardware benchmarks on Skymizer LPU and SoC platforms. The candidate who is familiar with software benchmarking is a plus. • Communicating customer feedback on emerging IP requirements to Skymizer's Research & Development and product teams. ✅Qualifications Working experience in any of the following areas: • ASIC/SoC design flow and FPGA prototyping • Large Language Model frameworks • Familiarity with industry-standard IP and protocols (NoC, CMN, DDR/HBM, PCIe/CXL, UCIe) • CISC/RISC/SIMD/VLIW/CGRA/GPU processor architectures is a plus • Audio/VIdeo/Speech DSP IP is a plus • Programming for SoC systems • Hardware digital design using Verilog or SystemVerilog • Familiar with EDA tool including Verdi, VCS, nWave, PTPX, DC ✅Nice to have • Hands on RTL / FPGA design and debugging. • Exceptional debugging and troubleshooting abilities, with proven experience in identifying and resolving customer issues across both hardware and software domains (e.g., system integration, performance optimization, compatibility, and usability). • A creative and results-driven approach with the ability to effectively manage multiple projects simultaneously. • Excellent verbal and written communication skills in English, enabling seamless interaction with global customers. • High levels of self-motivation and a strong sense of personal responsibility.

1. Actively clean, process, and validate Data streams for ML model consumption. Contribute to the implementation of MLOps best practices (CI/CD) and risk mitigation strategies as guided by the engineering team. 2. Actively develop and implement Python scripts and small utilities for model features and basic algorithm testing. Ensure development practices align with model fairness and ethical guidelines. 3. Establish and track technical Key Performance Indicators (KPIs) to measure model effectiveness post-deployment. Document and report potential technical risks identified during implementation. 4. Create and maintain a single source of truth for all active Carrier/vendor technical requirements and specifications. Support the definition of project scope, timelines, and milestones. 5. Act as the central liaison between Engineers, Data Scientists, and Business stakeholders. Translate incoming high-level partner requests into clear, detailed, and actionable engineering specifications and tickets. 6. Provide regular, concise updates for stakeholders on project progress, key metrics, and any blockers. 7. Annual salary: 1000K NTD and above 8. Onsite Google Banqiao Office

我們為一家外商消費品公司尋找 Enterprise Application Manager，帶領團隊負責ERP、SCM、CRM、HCM及BPM的開發及維護。 ⚫ Lead the development and continuous improvement of enterprise application platforms that support comprehensive business workflows, including supply and demand planning, order management, inventory control, financial reconciliation, compliance with business conduct rules, local payroll, and employee digital tools. ⚫ Spearhead the transition from legacy core systems—including AS400 DMS, OMS, IMS, and RMS—to modern, scalable solutions that align with the company's growth strategy. ⚫ Fully responsible for end-to-end development of enterprise application services, in collaboration with commercial shopping and digital service teams. This includes system architecture, software development, reliability engineering, and automated testing frameworks. ⚫ Manage development resources to efficiently handle service requests, ensuring adherence to technology service levels and maintaining high customer satisfaction. Provide technical consulting and integration development support to other technology teams. ⚫ Oversee team management responsibilities such as setting goals, assigning tasks, monitoring performance, identifying talent needs, and coaching team members for growth and development. ⚫ Drive the Annual Operating Plan (AOP) for enterprise-facing platforms. ⚫ Supervise project teams, ensuring effective management of timelines, budgets, and deliverables. ⚫ Promote cross-functional collaboration with technology and business stakeholders to maximize impact and results. ⚫ Lead efforts to deeply understand platform business and technical characteristics, identify areas for optimization, and implement solutions using innovative thinking and industry best practices. ⚫ Design and implement monitoring mechanisms for key business and technical performance indicators, proactively addressing issues to ensure platform reliability and stability.

- 用Verilog/SystemVerilog撰寫RTL，負責數位電路介面與模擬驗證。 - 參與晶片模組整合與ASIC合成（含DFT、時序收斂）到Tape-out。 - 主導設計專案與SoC整合。 - 帶領小團隊（3人），負責任務分配與技術指導。

【職位使命】 你將是串連「客戶需求」、「外部知識庫」與「大型語言模型 (LLM)」的關鍵工程師。你的核心任務是確保我們的 AI 顧問不僅能回答問題，更能「精準、深入、且帶有同理心」地解決台灣中小企業主的真實管理難題。 【核心職責】 1. 情境式 Prompt Engineering (提示工程)： - 深入分析我們的目標客戶（SME 業主、經理人）的使用場景與潛在痛點。 - 解讀 AI 互動數據，設計、撰寫、測試並迭代優化「高情商」與「高專業度」的 Prompts，引導 AI 產出兼具策略深度與實用性的建議。 - 你將是 AI 的「語言教練」，負責駕馭語言的細微差別，確保 AI 的回覆精準且符合我們的品牌聲音。 2. RAG (或其他類似技術) 解決方案實作： - 主導或參與 Retrieval-Augmented Generation (RAG) 系統的架構設計與實作。 - 運用 LangChain、LlamaIndex 等框架，串接並管理我們的專業知識庫（如管理學、人資法規、產業報告等）。 - 整合並優化向量資料庫（如 Pinecone, Milvus, ChromaDB 等），確保 AI 在回應時能即時、準確地檢索到最相關的專業知識。 3. AI 解決方案框架設計 (Solution Framing)： - 面對客戶的營運痛點（例如：「我們的人才流動率很高」、「我想做數位轉型但不知從何開始」），你將與產品經理協同作戰。 - 快速將模糊的商業需求，轉化為具體的「AI 解決方案框架」，定義需要哪些數據、哪些知識、以及 AI 應扮演的角色。 4. 效能監控與迭代 (Performance & Iteration)： - 建立並追蹤 AI 回應的品質指標（如準確性、相關性、流暢度）。 - 分析使用者反饋與互動日誌，找出模型或 RAG 流程的瓶頸，並提出具體的優化策略。 【必要條件】 1. 卓越的語言駕馭力（Prompt 大師）： - 擁有豐富的 Prompt Engineering 實戰經驗，對中（繁）文的語意、語氣和情境有高度敏感性。 （面試要求）請務必準備 2-3 個你最自豪的 Prompt Engineering 作品集，展示你如何透過指令設計，將 AI 的回答從「堪用」提升至「卓越」。 2. 紮實的工程技術力（RAG 專家）： - 精通 Python，並熟悉至少一種主流 LLM 的 API（如 OpenAI, Anthropic, Google Gemini）。 - 具備 RAG 的實際導入與調優經驗，熟悉 LangChain 及/或 LlamaIndex。 （面試要求） 你需要能清晰描述你過去如何實作 RAG 流程，包含你選擇了哪些工具（如 Pinecone, Elasticsearch 等）以及為什麼。 3. 敏銳的商業產品思維（解決方案架構師）： - 具備強大的商業理解力與邏輯拆解能力，能快速抓到客戶的「痛點背後的痛點」。 - 不只等待需求，而是能主動思考「AI 還能為客戶做什麼？」。 （面試要求） 我們會提供一個真實的客戶痛點情境，請你現場設計一個解決方案框架。 【加分條件】 1. 具備中小企業相關領域知識（如：人力資源、企業管理、財務會計或數位行銷）。 2. 熟悉資料庫管理（SQL/NoSQL）。 3. 有使用或串接 Make.com / n8n 等自動化工具的經驗。 4. 具備 Fine-tuning 模型的經驗。 【你將獲得的】 1. 一個高影響力的舞台： 你的工作成果將直接定義我們的核心產品，並賦能數以萬計的台灣中小企業。 2. 專業且敏捷的團隊： 我們是一個目標導向、快速迭代的團隊，你將與資深的產業專家與工程師緊密合作。 3. 彈性與信任的工作環境： 我們相信專業人才的最佳產出，來自於自主管理與清晰的目標。 4. 具競爭力的薪酬與福利： 我們願意為頂尖的「樞紐人才」提供相應的回報。

【工作內容】 1. Architect, design, and develop AI agentic systems 【需求條件】 1.Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 2.Experience with RAG/MCP and backend code-generation 【加分條件】 1.Strong understanding of software data structures, algorithms, and proficiency in object oriented coding, preferably in C or C++. Exposure to AI/ML models, accelerators is a plus. 2.Familiarity with PyTorch, Tensorflow, ML models 3.Fluency in English 【工作地點】:台北/南投/WFH

1. 內容開發與落地應用專案： 以數據驅動為核心的應用專案，包含專案架構規劃、進度追蹤、跨部門協作、落地驗證、進度追蹤回報、教育訓練、專案維運與持續優化等。 2. 內容經營分析與執行： 對數位內容進行全面、系統化的評估和管理，提升內容效益與影響力，並挖掘出更具價值的數據洞察。包含新聞議題分析、多媒體內容（如影音、Podcast）的深入數據分析與執行，並執行績效追蹤檢核、專案進度回報、跨部門協作（包括教育訓練和會議）等。 3. 創新型數據應用開發： 利用創新的數據分析技術（如Generative AI、Machine Learning）優化工作流程，促進創新應用開發，提升效率和數據價值，以實現數據驅動的決策與產品改進。 4. 主管交辦之新專案、行政事項或維運事項。 【必要條件】 1. 熟GCP環境，掌握 SQL、Python、AI等執行處理能力。 2. 熟Google Analytic 4、Looker studio、Excel(函數/樞紐/VBA)、Power Point。 【加分條件】 1. Google Data Analytics 認證。 2. Google Analytic 4 認證 (有效期內)。

Triumph Group joins the ranks of global leaders in the lingerie sector, with a multi-facetted product palette that is sold in more than 80 countries, from Norway to Morocco and from Chile to Australia. This is taken care of by around 20,000 wholesale customers, with whom Triumph has traditionally had close relations, in addition to a dense network of more than 2,300 controlled points of sale, which are operated both by partners and by Triumph itself. The company is mindful of the fact that quality products must be accompanied by excellent service in order to satisfy demanding consumers. Learn more about Triumph on: www.triumph.com www.facebook.com/Triumph/ www.instagram.com/Triumph/ www.linkedin.com/company/triumph-international/ Are you a tech-savvy leader with a passion for driving business success through smart IT operations? We’re looking for an experienced IT Manager to join our dynamic team and ensure our technology runs like clockwork—supporting business continuity, innovation, and growth. What You'll Do As our IT Manager, you'll be the backbone of our IT operations, ensuring all systems and applications run smoothly across the organization. You’ll lead a talented team of 3, align IT strategies with business goals, and deliver solutions that make a real impact. Your mission: • Oversee and optimize daily IT operations to ensure seamless application performance. • Implement IT policies and standards in line with global and regional guidelines. • Lead, coach, and develop your team while managing vendor relationships. • Provide technical support and training to users across departments. • Plan and execute IT budgets, acquisitions, and strategic initiatives. • Safeguard data, networks, and backup systems with robust security practices. • Collaborate with business leaders to deliver tech solutions that drive value. Your ideal Profile: • Bachelor’s degree in Computer Science or related field. • Minimum 7-10 years overall IT experience, of which at least 3 years in a leadership role. MNC environment will be prioritized. • Knowledge of ERP is necessary and is capable of supporting the business functions such as finance, supply chain, sales and is able to optimize existing processes with the support from process owners. • Proven experience managing IT operations in retail, with strong exposure to POS (e.g. Cegid) and eCommerce platforms (e.g. 91App, Salesforce Commerce Cloud etc) • In-depth experience with CRM platforms (e.g. Salesforce) and marketing technologies. • Solid experience in agile project management and daily IT operation support. Why Join Us? • Be part of a global brand with a strong global presence. • Work in a fast-paced, enhancement-driven environment. • Lead meaningful projects that directly impact business success. • Grow your career with leadership opportunities in an international environment Triumph is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, colour, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. If you are seeking a great opportunity to develop your career, please send us your CV in English by clicking on Apply.