「Senior Windows Application Engineer - Audio Development Environment」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）

Overview: At Ubiquiti, our mission is to rethink IT—not just by making powerful networking technology more accessible, but by delivering frictionless product experiences tailored to our users. This pursuit begins at our R&D Center in Taiwan, where we not only build innovative products, but a culture of trust, transparency, and collaboration. Responsibilities - 5~8 years’ work experience as a Key EE designer for VoIP, Conference, Mobile, or Tablet products. - Mainly focus on system schematic review and mechanical stacking review with mechanical engineers and PCB layout review with layout engineers. - Work with Audio, ME teams to figure out performance issues of radios and work with SI and DQA engineers to qualify features and make sure product quality is ready to move further. - Review design derating and suggest design update due to DFM (design for manufacturing), DFA(design for assembly), and DFC (Design For Cost). - Schematic and BOM maintenance and review. - Write test plans for testing coverage, execute tests, and document test results for projects. - Report projects’ status and issue tracking to the internal team. - Teardown and review new products in the market. - Participate in the hardware design and system architecture of VoIP products, including ATA devices, IP Phones, and voice-enabled access control systems. - Design and implement audio circuits including CODEC, I2S, SLIC/SLAC, analog amplification, echo cancellation (AEC), and noise reduction (NR). - Integrate Ethernet/PoE, USB, SPI, UART, I2S, TDM, and other communication/audio interfaces. - Collaborate with the software team to implement and debug Android/Linux audio drivers, HAL layers, and power control strategies. - Support low-power design techniques such as Dynamic Voltage and Frequency Scaling (DVFS). Minimum Qualifications - Have the MP experience with VoIP, Conference, Mobile, or Tablet products. - Solid knowledge of audio hardware design and VoIP communication protocols (SIP, RTP). - Experience with Android and/or Linux system integration for embedded hardware platforms. - Familiarity with high-speed signal design. - Solid knowledge of audio hardware design and VoIP communication protocols (SIP, RTP). - Experience with Android and/or Linux system integration for embedded hardware platforms. - Proficiency in using OrCAD Capture CIS, Power PCB viewer, and Allegro viewer - Knowledge of electronic components (Ex, R/L/C/Diode/MOS/BJT/Logic ICs/Sensors) - Strong knowledge of ESD, EMI, and Surge. - Debug skills with the basic operation of oscilloscopes and logical analyzers. - Strong knowledge to support the thermal solution. Preferred Qualifications - Experience with DVFS implementation and system-level power optimization. - Background in developing products such as SIP intercoms, IP Phones, VoIP gateways, or voice-enabled control terminals. - Proficient in diagnosing audio issues such as echo, feedback, and electrical noise. - Experience integrating ALSA, PulseAudio, or Android Audio HAL layers. - Leadership in projects - Aggressive, open-minded, and positive attitude - Familiarity with the network configuration - Familiarity with test equipment like TDR, Network Analyzers

We are seeking a talented and passionate Audio AI Engineer to join our team. You will be responsible for developing, training, and deploying cutting-edge AI models for real-time and audio noise reduction. Your work will directly impact the clarity and quality of our products, from teleconferencing and communication tools to creative audio production and media. The ideal candidate has a strong background in deep learning, a solid understanding of digital signal processing (DSP) fundamentals, and a keen ear for sound. You will collaborate with a cross-functional team of researchers, software engineers, and product managers to bring innovative audio solutions to life. # Responsibilities 1. Design, develop, and train deep learning models (e.g., neural networks) specifically for audio denoising, dereverberation, and speech enhancement. 2. Curate, manage, and preprocess large-scale audio datasets for model training and evaluation. This includes collecting, cleaning, and labeling noisy and clean audio pairs. 3. Optimize AI models for performance, latency, and resource efficiency, ensuring they can run effectively on various platforms, including cloud servers, mobile devices, and embedded systems. 4. Stay up-to-date with the latest research in audio signal processing, machine learning, and generative AI for audio. Explore and prototype new algorithms and techniques to push the boundaries of audio quality. 5. Work closely with the software engineering team to integrate production-ready models into our software and services. Partner with product and design teams to understand user needs and translate them into technical requirements. 6. Develop robust evaluation metrics and conduct rigorous testing (both objective and subjective listening tests) to ensure the denoising models meet high-quality standards. 7. Diagnose and resolve technical issues related to audio processing pipelines and AI model performance. # Requirements 1. Bachelor's, Master's, in Computer Science, Electrical Engineering, Signal Processing, or a related technical field. 2. Proven experience in a role focused on machine learning, with a specialization in audio, speech, or signal processing. 3. Strong proficiency in Python is a must. Experience with C++ is a plus, especially for low-latency, real-time applications. 4. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. 5. A solid theoretical and practical understanding of digital signal processing (DSP) concepts, including time-frequency analysis, filter design, and spectral processing. 6. Familiarity with audio editing software like Audacity, Pro Tools, or Adobe Audition for data inspection and analysis. 7. Proficiency with Git. # Preferred Qualifications 1. Experience in a production environment deploying machine learning models into live systems. 2. Knowledge of specific audio denoising techniques and models (e.g., RNNoise, WebRTC, U-Net architectures for audio). 3. Experience with real-time audio systems and APIs. 4. A background in audio engineering or a related field, with an excellent ear for sound quality. 5. Strong mathematical foundation in linear algebra, probability, and statistics. 6. Experience with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. # Soft Skills 1. Excellent problem-solving and analytical skills. 2. Strong communication and collaboration abilities, with the capacity to explain complex technical concepts to non-technical stakeholders. 3. A passion for audio and a creative mindset for solving difficult audio challenges. 4. Ability to work independently and as part of a highly collaborative team. 5. Proficiency in both English and Chinese, written and spoken.

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.

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

【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

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.

• 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. 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.

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

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. 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。

• 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.

必要條件 ・熟悉 Python 為主，亦可接受其他主流程式語言（如 Node.js、Go 等） ・具備 至少 2 年以上 後端開發經驗，能獨立設計與實作後端服務 ・具有豐富的 RESTful API 串接與整合經驗 ・熟悉 MongoDB 與 MySQL 的資料庫設計、操作與效能優化 ・具備跨團隊、跨職能合作經驗，能獨立 debug 並閱讀與應用最新技術文件 ・有 Git 版本控制實務經驗 ・具備良好的溝通能力與自我驅動解決問題的能力 加分條件 ・有雲端架構設計與部署經驗 ・熟悉 DevOps、CI/CD 流程自動化 ・有處理大量資料、高併發系統的經驗 ・具備 Kubernetes 維運經驗，瞭解 k8s 基礎運作邏輯

1.Python為主要語言 2.使用QT GUI為佳 3.使用Django/Flask為佳 4.GCP/AWS API串接 5.需與韌體工程師、前端工程師、UI/UX、APP開發者人員溝通協調 6.主管交代之事項 有爬蟲經驗者佳，有使用過AWS S3/GCP storage 經驗者佳 ((合適人選在參與面試時，將安排進行相關測驗，敬請知悉)) *實際薪資將依學經歷及相關工作經驗按比例調整*

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

1. 針對高速介面進行信號完整性模擬。 SI simulation : TDR, S parameter,Eye diagram,Crosstalk.. 2. 電路板電源完整性模擬。 PI simulation : IR Drop , PDN.. 3. 對於佈局圖給予改良建議。 Polar應用及評估PCB & VNA材料選擇方式 4. 信號完整性異常除錯。

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

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.

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