轉職熱搜工作

1. GPU driver development. 2. GPU compiler development. 3. GPU application development.

該工作需要和手機團隊合作研發手機BT/Thread功能，包含： 1. 開發手機專案的BT/Thread軟體協議和驅動程式 2. 設計和實作新的BT/Thread功能與規範 3. 開發並獲取BT SIG/Thread Alliance認証 4. 跨層分析問題，包含Android framework, ,Software stack, HAL, kernel, BT/Thread driver 5. 系统性地分析與優化，包含BT/Thread的性能與低功耗

【工作說明】 1. 控制盤體及電路圖面設計規劃。 2. 控制盤電料用料需求清單(BOM)之開立。 3. SCADA監控介面軟體撰寫。 4. 人機介面及PLC軟體撰寫。 5. 系統的現場試車。 6. 現場的訊號測試及儀錶調校。 7. 現場外線設計規劃。 8. 協助現場的圖面繪製。 9. 協助現場的工程範圍之確認及預算提報。 10. 專案的執行，工程施工、進度、品質之管理。 11. 施工品質異常、事故的排除確定、檢討、矯正預防措施之提報。 12. 建立各專案中產生之各種記錄與表單。 13. 廠商之工程進度估驗請款之審核與提報。 【Job Description】 1. Control panel enclosure and circuit diagram design planning. 2. Preparation of control panel electrical component bill of materials (BOM). 3. Development of SCADA monitoring interface software. 4. Human-machine interface and PLC software programming. 5. On-site commissioning of the system. 6. On-site signal testing and instrument calibration. 7. On-site external wiring design planning. 8. Assistance with on-site drawing preparation. 9. Assistance with on-site scope confirmation and budget submission. 10. Project execution, construction management, progress monitoring, and quality control. 11. Investigation, resolution, review, and submission of corrective and preventive measures for construction quality anomalies and incidents. 12. Establishment of all records and forms generated during each project. 13. Review and submission of contractors‘ progress estimates and payment claims. 【備註】 1. 工作待遇為在台培訓期間之薪資，赴新加坡薪資另議。 2. 海外工作地點：新加坡。 1. Remuneration shall be based on the salary during the training period in Taiwan; salary for the Singapore assignment shall be subject to separate negotiation. 2. Overseas work location: Singapore.

1. 使用模擬工具分析汽車SoC的性能、功耗和熱管理指標。 2. 改進模擬模型，識別並針對SoC最佳化領域。 3. 實施策略，提升車載SoC的性能和效率。 4. 自動化評估流程，實現持續的SoC最佳化。 5. 跟進汽車SoC設計的最新進展，專注於系統層面的改進。

軟體：HSI（USB、PCIE、MIPI、UFS、DP、HDMI等）系統軟體（Driver／FW）－設計與驗證 硬體：HSI（USB、PCIE、MIPI、UFS、DP、HDMI等）系統硬體（PCB／PHY）－設計、驗證及PPA分析

1.Design, develop, and optimize advanced Generative AI models (e.g., LLMs, diffusion models, GANs) for modem system verification and testing. 2.Develop and lead AI-powered tools and platforms to automate software processes, improving efficiency and test coverage in modem system testing. 3.Architect large-scale data pipelines and perform feature engineering and statistical analysis to ensure the quality and integrity of test data. 4.Lead technical projects using Agile methodologies, driving models from PoC to production and ensuring robust testing and CI/CD integration for modem systems. 5.Stay up to date with the latest AI trends, and proactively propose and implement innovations to enhance automation and testing efficiency.

Machine Learning - Architect/Researcher/Engineer - Accelerator, Deployment and Infrastructure [Overview] MediaTek HQ is looking for Machine Learning Architect, Researcher, or Engineer who is passionate about System Platform, Software Engineering, and Applied Machine Learning (including Deep Learning and AI). This position is within MediaTek’s AI Group. This R&D role offers a dynamic environment, hands-on learning, and a unique opportunity to develop both Infrastructures and Accelerators for state-of-the-art (SOTA) machine learning, as well as to build applications utilizing SOTA machine learning techniques. You will join a team devoted to developing and deploying cutting-edge machine learning and deep learning algorithms, optimized for MediaTek’s NPU—and, conversely, optimizing our NPU for advanced ML/DL workloads.

1. Wi-Fi 驅動程式和韌體開發設計及驗證 2. Wi-Fi 等無線晶片之跨層架構介面設計 3. 開發並取得Wi-Fi Alliance認証 4. 移植WLAN驅動程式到各Android, Linux核心和手機產品 5. 協助研發軟體新技術與新工具 6. 維護量產的產品

1. 研發 GNSS 基頻訊號處理算法，含 GPS、Galileo、BeiDou、GLONASS、NavIC、QZSS 和 SBAS。 2. 研發基頻硬體 C-model 和 RTL 設計驗證。 3. 研發 GNSS HW+SW receiver 於 DSP 嵌入式系統，含 SW 設計、算法實作和系統整合。

開發加速度計誤差估計和姿態估計的演算法。你會和衛星定位團隊一起合作，包括觀測量團隊、定位算法團隊，以及衛星定位及慣性導航融合算法團隊。這個職缺的主要工作是演算法開發，主要負責智慧型手機不同感測器與衛星定位融合的演算法開發。需對於從演算法開發到最終產品量產的完整流程充滿熱忱。 1. 探索並分析定位精度問題，以改善衛星定位晶片的定位性能 2. 開發數學模型和模擬軟體，做概念驗證 3. 參與路測並收集智慧型手機上的衛星定位晶片與慣性感測器的原始數據 4. 將算法實作成軟體程式，使其可以在晶片上即時運作 5. 測試軟體執行結果，除錯，改善並重複以上步驟來最佳化你的算法，並滿足客戶的需求