「機器學習主任工程師 Principal Engineer（Audio）-E110707」的相似工作

【What to expect】 Here at iKala, we are developing new algorithms and data pipelines which power business decisions in marketing and our in-house analytics platform. You will co-work with teams working in Machine Learning, Data Acquisition, Data Science, and Data Analysis to develop or optimize algorithms on large-scale multi-modal data. 【What you will be doing】 1. Develop in-house multilingual NLP models (Chinese, English, Japanese). 2. Tune and optimize algorithms to handle large-scale data (> 100 GB). 3. Carry out ablation studies and experiments. 4. Read the latest papers and implement state-of-the-art models. 【Requirements】 1. Master’s Degree or above in an engineering or quantitative discipline (Statistics, Mathematics, Computer Science, Electrical Engineering). 2. Good communication and writing skills. 3. Experience in common machine learning frameworks (scikit-learn, transformers, onnx, PyTorch). 4. Open to learning new languages (Go, C/C++, Java) and frameworks. 5. Comfortable working with Git. 6. Full understanding of Transformers and related research (sparsity, LLM). 【Pluses】 1. Published papers in reputable international conferences (KDD, ACL, WWW, CVPR, ECCV, ICLR, AAAI, NeurIPS). 2. Past experience contributing to open-source projects. 3. Experience in GPU speedup tricks (mixed precision, distributed training). 4. Worked in Transformer, CLIP, or self-supervised learning related research or side projects. 5. Experience with agent framework strategy optimization (e.g., LangChain, LangGraph, AutoGen). 6. Desire to work in a fast-paced startup environment. more info>>>https://ikala.ai

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

【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

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.

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.

負責遠傳金流平台、停車代收、數位宮廟等服務相關系統設計與開發: 1. 金流平台前端: 開發使用者介面, 提供商家/客服/內部使用者 共3個Portal予使用者進行設定/查詢/執行報表, 以完成業務所需。 2. 金流平台後端: 開發API與遠傳內部其它系統或外部商家介接整合, 核心系統優化。 3. 服務相關系統: 需求設計開發與優化。 數位平台採用DEVOPS (CI+CD), 微服務與雲地混合佈署技術 (K8S + Azure cloud), 對軟體工程技術有興趣的 Java 軟體開發工程師加入開發團隊.

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

關於我們 Raccoon AI 是新興的生成式 AI Chatbot 解決方案提供商，幫助電子商務、網路平台等企業自動化處理客服訊息。透過我們自研的 AI 引擎，客戶可即時回覆 50–80% 的線上對話，降低客服負擔、提升顧客體驗，並進一步優化轉換率與營運效率。 工作內容 -AI Agent 架構功能開發以及維護 -AI 效能優化開發以及監控 -第三方 APIs 串接以及內部 APIs 開發 -Issue debug 處理 必要條件 - 至少 5 年以上 Python 開發經驗，熟悉 API 設計與最佳化。 - 至少 3 年以上 AI / LLM / OpenAI API 相關開發經驗。 - 熟悉 Prompt Engineering、RAG、向量搜尋等技術。 - 熟悉 LLM tool call 行為、Multi-Agent 架構。 -具備 LLM Debug 技術問題解決能力。 - 熟悉 SQLite、PostgreSQL 關聯式資料庫的操作與優化。 - 熟悉 Git Flow 版本控制流程。 - 熟悉 Docker 映像檔建立以及封裝優化。

加入我們，挑戰技術極限，打造世界級產品！ 我們是一支以技術為核心驅動的團隊，專注於打造穩健、高效且極致的跨平台產品。我們深知，優秀的工程師不僅追求技術深度，還希望參與關鍵架構設計、解決高難度問題，並與同樣優秀的夥伴共同創造價值。 如果你是一位熱愛技術、擁有豐富經驗的資深工程師，正在尋找一個能夠充分發揮專業能力、參與決策並持續挑戰自己的舞台，那麼我們非常期待你的加入！ ▍你將在這裡負責的挑戰： ● 核心架構設計與決策：參與 React Native 應用的技術架構設計，確保系統的高效能與可擴展性。 ● 跨平台開發與優化：負責 iOS 與 Android 平台的 React Native 開發，提供優質的使用者體驗。 ● 技術難題攻克：解決複雜的技術挑戰，包括效能調優、原生模組整合及大規模數據處理。 ● 產品需求落地：與產品經理及設計師密切合作，從技術角度提供建設性建議，確保需求在技術上可行，並實現最佳化。 ● 系統穩定性與效能優化：持續監控並優化系統效能，確保產品在高併發或多場景下的穩定運行。 ● 技術傳承與指導：協助團隊成員成長，分享你的技術經驗，提升整體技術水準。 ▍我們希望你具備的能力與經驗： ● 資深 React Native 開發經驗：至少 5 年前端或跨平台開發經驗，3 年以上 React Native 實戰經驗，擁有完整產品開發與上架經驗。 ● 架構設計能力：熟悉大型應用的架構設計，能針對複雜需求設計高效、穩健的技術解決方案。 ● 深度技術掌握：精通 JavaScript / TypeScript，熟悉 React.js 生態系統及狀態管理工具（如 Redux、Context API 或 MobX）。 ● 跨平台整合能力：熟悉 iOS / Android 原生模組開發與整合（如 Camera、GPS、推播通知等），能處理跨平台技術挑戰。 ● API 設計與串接：具備 RESTful API 與 GraphQL 的設計與串接經驗，熟悉資料處理與效能優化。 ● 效能優化專長：擅於定位瓶頸並進行效能調校，對系統穩定性與使用者體驗有極高要求。 ● 團隊協作與領導力：熟悉 Git 流程，能帶領團隊完成複雜專案，並協助其他成員解決技術問題。 ▍我們的團隊文化與價值觀： ● 技術至上：我們相信技術是產品的核心，重視每一位工程師的專業與貢獻，鼓勵技術創新與探索。 ● 決策參與：我們希望每位工程師都能參與架構設計與技術決策，讓你的聲音影響產品的未來。 ● 挑戰與成長：我們面對的問題不僅是技術上的挑戰，也是對思維與創造力的考驗。我們提供資源與支持，幫助你成為更優秀的工程師。 ● 開放與透明：我們提倡開放的溝通環境，讓每個人都能分享觀點、解決問題，並共同成長。 ▍你會喜歡這裡的原因： ● 技術深度與挑戰：我們專注於高效能、高穩定性的產品開發，讓你每天都能面對全新的技術挑戰。 ● 參與核心決策：你將參與技術架構與產品方向的決策，真正成為產品的核心推動者。 ● 學習與成長：我們定期舉辦技術分享與學習活動，鼓勵團隊成員持續精進，探索最新技術。 ● 自由與彈性：我們提供彈性工作時間與自由的開發環境，讓你能專注於技術本身。 ▍加分項（如果你有，絕對讓我們眼睛一亮！）： ● 曾參與大型產品的技術架構設計或主導過關鍵技術專案。 ● 熟悉 CI/CD 流程、自動化測試與 DevOps 工具。 ● 對後端技術有一定了解，熟悉 Node.js 或其他後端框架。 ● 熟悉雲端架構（如 AWS、GCP 或 Azure）與相關技術。 ● 擁有技術社群貢獻（如開源專案或技術部落格）。 我們正在尋找技術領域的佼佼者，和我們一起挑戰技術極限，創造非凡的產品！ 如果你認為自己符合這樣的角色，或對我們的團隊感興趣，請立即聯繫我們！

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。

◈【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】: • 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 • 協助提供產品的 輪值式 On-call 支援，並參與自動化與預防性改善 • 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 ――― ◈ 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。」 ―――

1. 演算法設計、實作及相關程式撰寫。 2. AI模型訓練、微調、驗證及發佈。 3. 與系統後端進行資料串接及測試。 4. 持續關注如自然語言處理、影像處理及生成式AI技術。

1. 開發生理訊號判讀模型。 2. 收集以及處理訓練訊號。 3. MLOPS模組開發與監測。 4. 新型AI演算法追蹤。 5. 跨部門的專案合作開發。 6. AI演算法規劃與開發文件撰寫。 *************************************************************************** 如有興趣 若可以請準備個人履歷或相關作品說明 線上筆試測驗表單 : https://forms.gle/DC2keERhbncpb7Ds5 Google Colab連結 (記得複製一份作答，檔案名稱設定為Technical interview (AI position) v2.0_XXX : https://colab.research.google.com/drive/1e0AfKRnrtFyrWmYJUhESrU6x9jExtdJx?usp=sharing ***************************************************************************

我們正在尋找一位能夠結合技術專業與領導力 的 RD 主管。 這個角色將帶領團隊，解決產品開發與系統架構的挑戰，並在快速變動的環境中，推動最佳解決方案，影響產品與團隊文化。 【主要工作內容】 －主導中大型 .NET 產品/專案架構設計 －負責成本評估、系統維護性優化、專案技術與程式弱點風險控管 －優化改良系統架構、模組化設計，提升系統重複利用性與維運指標 －帶領 6-8 人工程團隊，與產品團隊的 BA、PM、SA 及 ETL 跨部門協作 －主持設計審查會議、事後檢討會議、技術分享會 【職位特色】 －運用判斷力與主動性，釐清問題本質、制定策略並推動執行 －整合工具、技術與框架，打造適合團隊的最佳解決方案 －在持續的產品迭代與優化中，建立您的技術影響力 【技能與專案經驗需求】 －2年以上團隊經營管理經驗 －5年以上軟體開發經驗，曾參與或主導中大型 .NET 專案 －精通 C#/.NET 6+（.NET 8 佳），熟悉設計模式與重構技巧 －熟悉 ASP.NET Core（Razor Pages/Web API）、EF Core、MS SQL Server －具備資料庫優化經驗（索引設計、交易處理、查詢最佳化） - 了解後端效能調校與維運實務（快取、非同步處理、水平擴展、監控/日誌/告警） - 優秀的溝通協調與領導能力，能帶領團隊完成高品質交付

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。

⚠️Important Notice – Read Before Applying This is not a model training or data science role. We are seeking a software engineer focused on AI framework development, not just using existing tools. ✅About the job Your primary responsibility will be to design and implement sophisticated APIs and runtime environments for our LPU hardware. This requires deep exploration of existing frameworks, coding complex integrations, and optimizing performance. If you are passionate about building the AI infrastructure that enables others to run models, this role is for you. We are looking for a highly skilled software engineer to design and optimize the LPU's AI software stack and runtime environment. ✅Key Responsibilities • Develop and optimize the LPU runtime and software stack, integrating with Hugging Face Transformers, llama.cpp, vllm, etc. • Design and implement APIs to enable efficient model execution on our hardware. • Explore and modify existing AI frameworks to ensure smooth adaptation for the LPU. • mprove runtime performance for heterogeneous computing environments. • Collaborate with hardware teams to optimize hardware-software interactions. • Contribute to the evolution of AI model deployment frameworks. ✅Qualifications • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields. • Strong proficiency in C++ and Python, with experience in performance-critical software. • Hands-on experience with AI frameworks (Hugging Face Transformers, llama.cpp, vllm), beyond just using them—modifying, extending, or integrating. • Understanding of runtime systems and heterogeneous computing. • Experience with low-level optimizations, memory management, and parallel execution. • Familiarity with software development tools (Docker, Git, CI/CD). • Analytical thinking and problem-solving skills. ✅Nice to have • 3+ years of experience in compiler technologies, runtime systems, or AI hardware acceleration. • Understanding of hardware-software co-design principles. • Experience with CUDA, ROCm, or other GPU programming frameworks. • Contributions to open-source AI/ML projects. ✅Any additions • Work on cutting-edge AI framework development. • Collaborative and high-caliber engineering team. • Competitive salary and benefits. • Career growth in AI software and system design. ✅How to Apply Send your resume and cover letter. If you have framework-related contributions (e.g., modifications to AI runtimes), please highlight them. Join us in building the AI infrastructure of the future.

在Linux環境下進行軟體開發，參與軟體設計、編碼、測試和部署 大語言模型(LLM)與其他AI相關模型之串接與調教 使用開源工具整合與開發不同場域之AI應用 撰寫與維護相關技術文件

Role Overview 作為軟體工程經理，您將成為工程領導團隊中的關鍵成員，負責管理一個或多個工程團隊及多個核心系統。您將承擔組織策略、團隊流程與系統設計和實施的責任。 在這個角色中，您將與其他領導者合作，並與業務夥伴及工程師並肩工作，共同制定產品路線圖，實現公司的戰略願景。此外，您將與同儕及高層領導協作，確立並推動組織最佳實踐，優化軟體開發生命週期（SDLC），改善我們的生態系統（基礎設施、工具集、流程等），進而強化我們的工程組織。 我們理想的候選人不僅是一位卓越的工程師，能夠跨部門協作，還能夠作為其他工程師的導師和領導者，帶領工程團隊成長，並積極改善所處環境的條件。我們是一個精心設計的小型組織，追求敏捷、高效與靈活，而這個角色正是我們團隊的核心。 Responsibilities Management Responsibilities: • 透過管理、指導與培育來領導團隊。 • 與團隊主管、產品/專案經理及業務夥伴合作，優化公司政策與標準。 • 推動團隊與組織的健康發展，包括人才招募、流程優化及提升團隊績效與效能。 Software Development Process Responsibilities: • 理解業務需求，推動工程優先順序與權衡取捨，以快速有效地交付功能，同時減少技術債的累積。 • 提出技術發展建議並改善低效流程。 • 制定標準與流程，確保品質標準的一致性與達成。 • 培養團隊，確保最終產品的高品質。 • 持續優化工程流程，提升團隊士氣與產出，推動實用且循序漸進的設計，同時兼顧長遠的架構發展。 Requirements Skills & Abilities: • 具備實際動手解決問題的能力，擁有創業心態。 • 具有管理、指導、培育及發展軟體工程團隊的經驗。 • 具備求知慾與開放思維，擁有成長型思維模式。 • 重視坦誠的反饋價值，能夠定期提供高品質的回饋，也能良好地接受他人意見。 • 具備出色的口頭與書面溝通能力，能夠清楚地與跨部門團隊（技術、非技術、客戶或高層）交流。 • 能夠在矩陣式工程組織中良好工作。 • 能夠與工程師及產品負責人建立良好連結並有效合作。 Education & Experience: • 資訊工程、計算機科學、相關技術領域的學士學位，或同等的實務經驗。 • 至少 10 年以上軟體工程經驗。 • 至少 3 年以上管理經驗。 • 具備紮實的關聯式資料庫與 SQL 知識。 • 深入理解 Web 應用架構與設計。 • 具有在 Unix/Linux 環境下開發軟體的經驗。 Compensation: • Monthly Salary: 110k-130k • Full Package (Monthly Salary + Bonus + RSU): About 2.3M-2.6M Language Note: • 我們後端開發語言為Perl，但可以進來再學習

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.