「Digital Image Signal Processing Software Engineer」的相似工作

Job Summary & Responsibilities Onto is seeking a motivated individual for an engineer position in an advanced algorithm group within the Inspection Business Unit (IBU). The position will report directly to the engineering team at Onto Innovation. *This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into Onto’s Innovative inspection platforms. *Responsibilities of this position include developing advanced algorithms for Onto’s inspection systems. A key aspect of the role involves working directly with customers onsite to identify performance improvement opportunities and leading the implementation of solutions that enhance system capabilities. Candidates must demonstrate the ability to independently implement and validate algorithms based on real-world system behavior. *This person is encouraged to bring forward creative ideas, develop production code and support as needed. This candidate shall be able to work independently and provide recommendations to the hardware group on image quality and error budget base on algorithm design and performance. *The candidate must have excellent problem solving and communication skills. *Proficiency in at least one numerically oriented programming environment such as Python or MATLAB is required, with experience using native libraries for linear algebra, image processing, and machine learning. A strong foundation in data science is preferred, along with demonstrated experience deploying machine learning algorithms into real world production environments. *75% travel, 65% in Taiwan/10% International travel. Qualifications *PhD or MS or Bachelor in EE, Computer Science, Applied Math or related field, 0 to 5 years of experience.

Role Description: The IDSP Algorithm Development Engineer is responsible to develop image processing algorithm. This role focuses on researching, designing, and implementing advanced image processing algorithms for various imaging applications. The ideal candidate will have a strong background in digital signal processing, computer vision, and algorithm development. Key responsibilities: • Design and develop innovative image processing algorithms for various imaging applications. • Optimize algorithms for performance, memory usage, and power efficiency • Create and maintain technical documentation for algorithms and implementations • Collaborate with cross-functional teams to integrate algorithms into production systems • Analyze and improve existing image processing pipelines • Conduct performance analysis and optimization of implemented algorithms • Develop proof-of-concept prototypes to validate new approaches

The rapid acceleration of deep learning is leading to new generations of high-performance and low-power architectures to bring cutting edge computer vision algorithms to diverse new markets. At Ambarella, architecture engineers work at the forefront of this technological leap in computer architecture by designing new systems to accelerate key functions of computer vision. Studying industry trends across deep learning and computer architecture, we create new ideas and concepts for software systems and hardware design, justify and document new features and train others to leverage the most of our architecture. Our team members translate algorithms into hardware design specifications, identify performance bottlenecks, optimize system performance and build our knowledge into software libraries to benefit other internal teams and external customers across different target markets. Our team works closely with all members of our high level software, compiler and SoC design teams, thus our team clearly communicates in both verbal and written form. We actively seek candidates with strong background in either architecture, hardware modeling or software performance optimization experience to join an exciting cross-functional team to deliver the next generation of Ambarella's computer vision processors. [Responsibilities] - Model performance critical areas of the hardware architecture, identify performance bottlenecks and propose solutions. - Develop expertise in neural network structures and their evolution as it applies to image processing, computer vision and robotics. - Apply graph theory and network analysis to understand and solve resource allocation problems in neural networks. - Develop performance analysis infrastructure and tooling. - Interface with various teams in the organization for data collection and productization of solutions.

1. 主導影像處理流程（Image Pipeline）調校，包含 AE（自動曝光）、AWB（白平衡）、AF（自動對焦）、Gamma、Noise Reduction、Sharpening、Color Matrix 等參數最佳化。 2. 操作 ISP Tuning 工具（如 Qualcomm QACT、MTK CamTool、TI tuning tools）進行多場景影像調校，建立與維護 tuning profile（Daylight、Low Light、HDR 等場景）。 3. 使用畫質分析工具（Imatest、IQ Analyzer、GRGB分析等）評估畫質表現，並針對 MTF、Shading、Color Accuracy、SNR 進行優化建議。 4. 整合 CCM（Compact Camera Module）組件，包括 Sensor、Lens、VCM/OIS、IRCF 等，與供應商協同開發，確保模組畫質達標。 5. 協助模組試產、異常分析與影像缺陷（如 Ghosting、Color Cast、Chromatic Aberration）排除。 6. 撰寫 Camera Tuning 報告、Golden Sample 管理、設計變更文件等。

1.熟悉C#程式語言與使用者介面開發 2.熟悉影像處理軟體(如:e-Vision, MIL, OpenCV, Halcon) 3.具備數位影像處理基礎 4.演算法設計 5.演算法分析及模擬 6.演算法最佳化

1. 根據 Device Driver功能需求, 使用 C/C++開發 Test Program for Unit Test and Integration Test 2. 撰寫 test case測試 TV 功能 3. 維護既有 TV 平台及維護新開發功能

擔負以下至少一項演算法開發主責： 一、基於事件相機(event camera)與動態視覺感測器(Dynamic Vision Sensor, DVS)相關 1.設計開發視訊插幀(video frame interpolation)與視訊超分(video super-resolution)以達成慢動作特效與解析度提升效果。 2.設計開發低照度下動態場景的影像與事件多幀合成，達成亮度提升、移動物清晰、且雜訊抑制效果。 3.設計開發適用於事件相機的ISP流程，包含自動曝光(Auto Exposure, AE)、去雜訊(降噪)、細節增強等。 二、AI影像視覺邊緣運算 1.設計目標檢測、識別、分割的輕量化AI模型演算法。 2.將神經網路模型進行壓縮並移植部署到MCU平台上。 3.在算力與記憶體(內存)受限的邊緣裝置上實現AI影像視覺演算法。 三、3D/ToF相關 1.深度圖修補、去雜訊等後處理。 2.深度圖應用相關演算法開發，例如先進駕駛輔助系統(ADAS)、同步定位與地圖構建(SLAM)、時空場景重建(Spatio-temporal scene reconstruction )。 3.結合RGB色彩、事件資訊改善深度圖或輔助前述各項應用效果。 四、軟體演算法硬體化 1.將現有AE、AF等軟體演算法實現於FPGA上。 2.ISP相關演算法實現於硬體架構上。

1. 影像及色彩品質評估與調校 2. 色彩調校標準化流程開發 3. 新色彩空間相關文獻研究與評估 4. 色彩相關專利研究與新技術專利開發 1. Evaluation and tuning of image and color quality 2. Development of standardized color tuning process 3. Research and evaluation of new color space-related literature 4. Study of related patents and development of new patents

As a system architect, you will work with world-class experts to develop algorithms and VLSI architecture for cutting-edge communication systems. You are expected to work closely with business/analog/digital/validation teams from project planning to deployment. • Develop DSP algorithms and Architecture for electrical and optical communication systems. • Develop MATLAB and C/C++ system models for SERDES simulation and verification. • Evaluate architectural tradeoffs. • Product function verification and analysis.

【產品線說明】 1. Smart phone驅動IC 2. Wearable 驅動IC/TDDI 3. Tablet 驅動IC 4. 車用驅動IC/TED (TCON Embedded Driver) 【工作說明】 手機/穿戴/平板/車用產品 1. 顯示驅動IC規格制定 2. 顯示驅動IC視效IP驗證、FPGA驗證 3. 顯示驅動IC視效IP驗證平台開發 4. 顯示驅動系統FPC、PCB、電源、高速訊號量測驗證及問題解析 5. 客戶端IC導入驗證、系統量測、演算法問題分析及視效優化（需出差） 6. 搭配面板視效調適、協助面板廠及系統廠IC導入與客訴問題解析

[General Summary] As a forward-thinking technology company, Augentix advances the limits of innovation in "Industrial and Embedded IoT" to deliver next-generation experiences and accelerate digital transformation toward a smarter, more seamlessly connected world. As a software engineer at Augentix, you will contribute to the design, development, enhancement, and validation of embedded software, applications, and specialized tools that power high-performance products exceeding modern user expectations. Augentix engineers work closely with system, hardware, architecture, and validation teams to deliver comprehensive system-level software solutions. [Responsibilities] ★ Develop and maintain the camera software stack, including driver, HAL, and image post-processing. ★ Integrate and optimize image processing algorithms (3A, HDR, NR, sharpness, EIS, tone mapping, rate control, etc.). ★ Perform image quality tuning and issue analysis. ★ Debug camera software stack issues and develop unit tests. ★ Define image quality evaluation standards and workflows. ★ Occasional business travel across APAC and other regions may be required. [Minimum Qualifications] ★ Master's degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a closely related field with 3+ years of relevant experience, or a PhD in a related field. ★ Proficient in modern C, C++. ★ Familiar with Linux kernel and/or user-space development. ★ Comprehensive knowledge of image processing and optics. [Preferred Qualifications] ★ 6+ years of relevant experience. ★ Knowledge of optical lens or image sensor design. ★ Expertise in image quality assessment. ★ Experience with Linux GStreamer is a plus. ★ Experience with multimedia SDKs, specifically "Intelligent Multimedia SDK (IM SDK)" is a strong plus. ★ Solid software architecture skills are a strong plus. ★ Comfortable working in a globally distributed, cross-disciplinary engineering team.

1. Capacitive touch screen controller FW development 2. Touch algorithm development 3. Anti-noise algorithm development - NFC noise, EFT noise, LCM noise, charger noise... etc. 4. Analyze and solve the abnormal problem about touch performance. 5. 需國外出差 - 協助客戶快速解決問題。 - 對 FAE 做教育訓練, 讓 FAE 也能協助處理客戶問題。 6. 經培訓後，專業能力達標的前提下，能接受海外長期出差的申請者將優先考慮。

About the team: We design and develop automated advanced substrate router for 3D-IC and IC Packaging applications, focusing on the advanced manufacturing technologies. Need coordinate with other R&D teams and customers to keep development and product plans on track. Requirements: - PhD, Masters or Bachelors in EECS or Computer Science - Have EDA Algorithmic depth with Solid proficiency in relevant technologies and programming languages (including but not limited to C, C++) - Expertise in algorithms including: Graph, Routing, Computational geometry, Partitioning and Placement, Object-oriented - Good communication skills and a problem-solving mindset Bonus items: - Experience in parallel programming and distributed computing - Experience in working on DRC, Parasitic Extraction - Experience with Applied Graph Theory, Network Flows

-Image processing software applications. -Tune EIS and image stitching. -Familiar with IMU, sensor fusion, and camera models in computer vision. -Bonus: Experience with SLAM and deep learning.

[General Summary] As a forward-thinking technology company, Augentix advances the limits of innovation in "Industrial and Embedded IoT" to deliver next-generation experiences and accelerate digital transformation toward a smarter, more seamlessly connected world. As a software engineer at Augentix, you will contribute to the design, development, and validation of embedded device drivers across Linux and RTOS platforms. Your work will enable high-performance imaging pipelines and sensor interfaces for camera-centric products in industrial and edge environments. Senior engineers will play a key role in architecture design, bring-up, system integration, and mentoring junior developers. [Responsibilities] ★ Design and implement device drivers for camera-related subsystems (Sensor, ISP) on Linux and RTOS environments. ★ Port and adapt drivers to run across diverse operating systems and platforms. ★ Perform low-level debugging and hardware-software integration on pre-silicon (FPGA) and production silicon. ★ Conduct system-level performance profiling, debugging, and power/memory optimizations. ★ Work closely with hardware, system, and test teams to ensure robust and production-ready camera enablement. ★ Support secure boot, fast boot, and always-on-video (AOV) scenarios. ★ Collaborate with cross-functional teams to support platform bring-up, tuning, and field issue resolution. ★ Occasional business travel across APAC and other regions may be required. [Minimum Qualifications] ★ Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. ★ Proficiency in C programming and embedded software development. ★ Experience with Linux kernel and/or RTOS (FreeRTOS, Zephyr) driver development. ★ Familiarity with device driver architecture, memory-mapped I/O, interrupts, and synchronization. ★ Ability to work across user space and kernel space boundaries. [Preferred Qualifications] ★ Experience with MIPI CSI, ISP and video encoder pipelines. ★ Understanding of SoC-level architecture including ARM, MMU/IOMMU/SMMU. ★ Experience with FPGA bring-up or hardware emulation platforms. ★ Exposure to real-time constraints and low-latency driver design. ★ Knowledge of secure boot, fast boot and always-on-video (AOV) is a plus. ★ Comfortable working in a globally distributed, cross-disciplinary engineering team.

1. 職務摘要 負責車用毫米波雷達 (60 GHz) 之訊號處理與目標追蹤演算法研發，並於 TI AWR 系列與Infineon BGT / RXS 系列 Radar SoC 平台上完成實機驗證。 設計與實現 FMCW / MIMO 雷達前端訊號處理流程： ‧ Range/Doppler FFT、波束成形、CFAR、角度估測 (MUSIC/ESPRIT/DOA) 發展多目標追蹤與融合演算法： ‧ Kalman / EKF / UKF / IMM、JPDA、GNN 等 針對 TI mmWave SDK、Infineon AURIX/AutoSAR 環境進行演算法嵌入與最佳化 (C/C++ / DSP) 透過 MATLAB / Python 進行雷達訊號離線分析、資料集標註與模型驗證。 配合系統與硬體團隊，完成實車量測、實驗室測試與性能評估。 撰寫演算法設計文件、測試報告，並於設計審查 (Design Review) 報告技術成果。 追蹤前沿文獻與產業動態，持續優化雷達感知堆疊（Radar Perception Stack）。 2. 必要條件 • 電機、電子、資工、通訊、控制或相關碩士以上學歷，5 年以上相關經驗 • 熟悉 TI AWR6xxx 或 Infineon BGT60 / RXS3x 雷達晶片驅動與開發流程 • 具備以下任一技術實作經驗： ‧ Range-Doppler map 生成與雜訊抑制 ‧ Angle Estimation (FFT / MUSIC / Capon / ESPRIT) ‧ 目標追蹤 (KF / EKF / UKF / Particle Filter) • 熟練 C/C++ 嵌入式開發與 ARM/DSP 平台最佳化 (SIMD, DMA, cache tune) • 能獨立使用 MATLAB / Python（NumPy、SciPy、Matplotlib）進行信號處理與數據分析 • 良好英文技術文件閱讀能力，能參與跨部門與國外客戶/FAE 之技術討論

We are multinational team to collaborate with Fortune 500 client ! We are looking for talents who have experience in programming, data analytics, and User Interface design to take on projects from our customer. Job Description: - SEM image analysis and feature extraction by scripting to identify and classify image patterns. - Provide customized scripts as short-term workaround based on customer needs. - Estimate 50% onsite support. (Roughly 20~30% to Hsinchu and 20~30% to China, South Korea, etc. Each travel may last from 2 days to 2 weeks, depending on the project needs.) - During the remaining time, WFH is allowed. Qualification: - Advanced python programming skill. - Experienced with massive data analysis, result visualization, and user interface design. - Strong verbal communication skill. - Knowledge with SEM or semiconductor fabrication is a plus, but not mandatory.

依照專案開發需求，提供客製化檢測方案，執行影像處理演算法開發，並完成實機測試。 1. 依照專案需求，評估適合的演算邏輯與流程 2. 依照流程邏輯，完成程式架構、相關參數介面，以及演算法的開發 3. 偕同軟控工程師一同測試完成設備安裝、驗證 4. 執行現場測試，並以實際狀況優化檢測邏輯以及演算法

工作項目： 1. Camera firmware 負責同仁，專門處理 Tier 1 Customer firmware的需求 2. Camera firmware 底層開發，專門處理 Customer function 到 Git 的整合和標準化 3. Camera AI feature開發，專門處理Customer的AI應用 應徵條件： 1. 碩士以上，電機工程、電信工程、電控工程、電子工程、資訊工程、資訊科學、動力機械、自動控制、通訊工程相關科系畢業為主 2. 熟悉 C , C++ , Python , Git, Python 3. 熟悉 Scope , USB Analyzer , I2C Analyzer 4. 具3年以上下列相關經驗者佳： -熟悉 USB 協議和相關產品及USB Camera 相關 firmware 控制 -熟悉 firmware code compiler 環境及控管軟體 -了解 Camera ISP Pipeline 及 PC Camera相關 feature -具備基本 Hardware debug (GPIO / I2C etc..) 能力 相關經驗者為佳。

1.開發與優化 AE（自動曝光）與 AWB（自動白平衡）演算法 2.根據實際拍攝環境（如低光、高光、背光）進行影像調校（Image Tuning） 3.分析 Sensor Data 與統計數據，進行參數調整與校正 4.影像 ISP pipeline 調整 AE/AWB 模組與相關參數

影像處理IP設計開發。 【應徵條件】 1. 具Image/Video 影像處理算法設計開發經驗 (1)影像優化 (2)色彩處理 (3)影像壓縮 2. 具LCD/OLED影像處理算法設計開發經驗 (1)面板demura處理演算法 (2)補償面板缺陷 (3)優化面板顯示效果 3. 熟悉C/C++/Matlab 4. 熟悉OLED驅動原理尤佳