台灣德賽西威有限公司

Job summary: We are seeking an experienced International Program Manager to lead and oversee our global projects. The ideal candidate will possess strong international project management skills, demonstrating the ability to navigate diverse cultural landscapes, coordinate complex initiatives across multiple regions and support sales managers on business strategy, analyst and plan for new business opportunity Duties/ Responsibilities: 1. Lead and manage international projects from initiation to completion, ensuring adherence to timelines, budget, and quality standards. 2. Manage the engineering activities with customers during the development and production of automotive products according to the DESAY SV development process. 2-1. Define the product design work packages required for the project. 2-2. Coordinate prototype builds, testing, and deliveries as defined in the Statement of Work (SOW) or other key customer agreements documents. 2-3. Advanced component planning and schedule long lead items. 2-4. Create mitigation plans for slips in timing. 2-5.Managing customer engineering change requests and reflecting the additional engineering efforts. 3. Manage the product design team comprised of members with hardware, software, mechanical, systems, requirements and validation disciplines 3-1. Schedule and lead the product design team meetings. Some meetings may periodically held in evening or early morning to accommodate our global skills base and typically occur on a weekly basis. 4. Manage engineering deliverables for product development gate reviews. 5. Support Sales Manager on business strategy, analyst and plan for new business opportunity. 6. Support Sales Manager on analysis competitors' movement for better business strategy plan. 7. Support Sales Manager on engage target customers for new business opportunity.

熟悉 Qualcomm Audio DSP 架構 (如 Hexagon DSP, ADSP/MDSP/SDSP) 及相關開發流程 責任音訊子系統模塊設計、音訊路徑配置、演算法整合並據需據擴展設計/開發文件 進行音訊處理流程的問題分析與效能優化 (如 功耗、延遲、同步) 熟悉 Audio HAL / ALSA / AFE / Audio DSP firmware 開發與調校流程 熟悉 Android 音訊架構 (如 AudioFlinger, AudioPolicyManager) 與 AOSP Audio build system 熟悉 Qualcomm 音訊平台軟體堆疊如: AudioReach / QACT / Audio Calibration Tool / Tuning Tool 等優先 與產品經理討論需求，規劃音訊系統架構與功能路線 協助整合第三方音訊演算法 (如 ANC, VAD, Beamforming) 至 DSP platform 據需擴展 Android framework 模組或更改音訊會訊路徑配置功能 據需編寫單元測試、整合測試設計，確保軟體系統穩定性與品質 【加分條件】 (Preferred Qualifications): 具備 SmartPA 調校、語音觸發 (Voice Activation)、Voice UI 開發經驗 熟悉 Qualcomm SA8155P / SA8295P / Snapdragon Ride 系列平台開發經驗

1.RFQ / RFI 對應處理 2.系統框架(軟硬體架構)規劃與選材 3.ME/HW/SW/DEQ 跨部門協調與規格協調 4.實車路測技術支持 5.熟悉顯示器設計與HPC設計 熟悉ASPICE/ISO26262 & 21434

工作內容： 1. 設計、開發並優化ISP系統的影像處理算法，例如 HDR Fusion / Noise Reduction / Tone mapping / LED Flicker Mitigation / Local Contrast Enhancement / DIS等模塊。 2. 與軟體架構工程師合作，將算法實現於各類車用攝像頭產品。 3. 分析產品影像問題及提出解決方案，確保算法適用於各類行車場景。 4. 與影像品質檢測部門協作，進行模塊、系統各級別測試工作，根據測試結果持續迭代優化算法模塊。 5. 技術文件撰寫，包含算法設計、單元/模塊測試用例(test case)、參數調校說明等。 6. 支援影像品質調校工作。 7. 研究ISP最新相關技術，並應用於產品。 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大學及以上學歷。 2. 5年以上ISP算法開發經驗。 3. 具備Camera軟硬體、信號處理和數位影像相關知識，熟悉影像處理算法及濾波器的設計和應用。 4. 熟悉C/C++, Python或MATLAB。 Responsibilities: 1. Design, develop and optimize image processing algorithms for ISP systems, including but not limited to HDR Fusion / Noise Reduction / Tone mapping / LED Flicker Mitigation / DIS. 2. Collaborate with software architect to implement algorithms on various camera products. 3. Analyze product image issues and propose solutions to ensure the successful implementation of algorithms for various driving scenarios. 4. Collaborate with the quality assurance department to perform module and system-level testing, continuously iterating and optimizing algorithm modules based on test results. 5. Technical documentation, including algorithm design, unit/module test cases, parameter tuning instruction, and other related documents. 6. Support image quality tuning activities. 7. Research and apply the latest ISP-related technologies to the products. Skills Qualification and Experience: 1. Minimum Bachelor of Science, Computer, Electrical & Electronics, Optics & Photonics, Image Processing Engineering degree or equivalent. 2. Minimum of 5 years of experience in development of ISP (Image Signal Processing) algorithm. 3. Expert knowledge of camera sensors & components, signal processing and digital image. 4. Experience in camera image processing and design/application of filters. 5. In detail understanding of ISP algorithm and camera 2A (AE & AWB) technologies. 6. Must have excellent C/C++, Python or MATLAB coding skills.

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.

工作內容： 1. 鏡頭模組點亮，包含SerDes正確讀寫sensor暫存器、分辨率與fps等設置，確保Sensor端影像正確輸出至2A算法模塊及ISP pipeline。 2. Image sensor driver架構設計、開發及優化，整合至FPGA/SoC等平台，確保ISP鏈路可高效率適配不同型號的sensor。 3. 研讀sensor spec並與FAE溝通，熟悉sensor控制方法，並依照spec所規範的方法建立sensor控制相關API，包含exposure time, gain, 轉換公式及極限值保護等。 4. 設置暫存器，確保sensor輸出影像線性度及數據實時性符合2A及ISP演算法需求。 5. 與2A演算法工程師合作，擬定sensor控制策略(各曝exposure time及gain的搭配)，已達到最佳的圖像效果。 6. 與影像品質驗證人員及調試人員合作，驗證sensor功能及RAW圖表現。 7. 參與ISP系統分析，提出sensor控制解決方案，改善RAW圖問題。 8. 支援ISP調試工作。 技能描述： 1. 資工、電機、光學、影像處理工程相關專業碩士及以上學位。 2. 至少 5 年 image sensor driver開發經驗。 3. 精通 CMOS/HDR sensor及其控制方法。 4. 熟悉 2A演算法 及 ISP 流程。 5. 精通C/C++及嵌入式程式設計；熟悉MIPI CSI-2、LVDS、SerDes等協定。 Responsibilities: 1. Enable and bring up camera modules, including SerDes configuration, sensor register read/write, resolution and fps settings, to ensure sensor output is correctly delivered to 2A algorithms and the ISP pipeline. 2. Design, develop, and optimize image sensor drivers, integrating with FPGA/SoC platforms to ensure efficient ISP pipeline adaptation across different sensor models. 3. Review image sensor specifications and communicate with FAEs; establish sensor control APIs based on spec-defined methods, covering exposure time, gain, conversion formulas, and limit protection. 4. Configure registers to ensure linearity and real-time performance of sensor outputs, meeting the requirements of 2A and ISP algorithms. 5. Collaborate with 2A algorithm engineers to define sensor control strategies (e.g., settings of exposure time and gain) for optimal image quality. 6. Work with image quality validation and tuning engineers to verify sensor functionalities and RAW image performance. 7. Participate in ISP system analysis, proposing sensor control solutions to address RAW image issues. 8. Support ISP debugging and integration activities. 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 image sensor driver development. 3. Strong expertise in CMOS/HDR sensors and their control methods. 4. Familiar with 2A algorithms and ISP pipeline workflows. 5. Proficiency in C/C++ and embedded programming; solid understanding of MIPI CSI-2, LVDS, SerDes protocols.