OmniVision 台灣豪威科技有限公司

【Position Overview】We are seeking a pioneering Senior/ Staff Level SI Engineer to establish our High-Speed Test Competency Center from the ground up. In this role, you will be the key architect bridging the gap between RD develop and Mass Production. You will not only define the SI/PI guidelines for our next-generation CIS (MIPI C-PHY/D-PHY) and SerDes products but also lead the technical transformation of our test engineering team.【Responsibilities】A. Architecture Simulation * Perform Pre-layout and Post-layout SI/PI simulations for ATE Load Boards and Probe Cards using tools like Ansys, ADS...etc * Develop channel models and loss budgets for complex test interfaces (Socket, Pogo Tower, Relay, Cable) to predict signal degradation. * Establish develop Guidelines: Create and maintain the "High-Speed PCB develop Checklist" for external vendors to ensure impedance control compliance.B. Lab Characterization * Build the Lab: Lead the evaluation and setup of high-speed measurement infrastructure (TDR, VNA, High-bandwidth Oscilloscopes). * Execute physical layer validation for MIPI C-PHY/D-PHY and SerDes interfaces. * Define "Golden Eye Diagram" criteria and generate S-parameter reports for mass production baseline.C. Lab-to-Fab Correlation * Collaborate with Test Engineers (TE) to perform De-embedding and Receiver Equalization (CTLE/DFE) tuning on ATE platforms. * Lead the root cause analysis for yield excursions, distinguishing between device defects, contact issues, and signal integrity artifacts. * Conduct gap analysis between Bench data (Lab) and ATE data (Production) to optimize test limits.D. Methodology Mentorship * Act as a Technical Coach: Train and mentor Test Engineers on high-speed fundamentals, helping them interpret eye diagrams and debug logs. * Standardize the hardware validation flow and create troubleshooting SOPs for the operation team.E. Other tasks assigned by supervisors.

【Position Overview】Work on functional requirements, process workflow, prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team.Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation Conducting assessments of the AI and automation market and competitor landscape.Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation.【Responsibilities】1.Exploration and application of Large Language Models and Generative AI.2.Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences.3.Actively engaging in all aspects of model optimization, from ideation and experimentation to deployment.4.Collaborating with various teams to deploy and implement Machine Learning solutions, ensuring performance optimization and alignment with broader business goals.5.Good communication skills and a positive attitude to work with colleagues in Global.6. Complete tasks assigned by supervisors.

【Position Overview】This role focuses on supporting computer vision model development, including image training, generation, and classification. You will work closely with engineering teams to develop, test, and integrate AI-based image solutions that enhance inspection, automation, and quality systems.The position involves participating in solution planning, conducting experiments, building training pipelines, and documenting key results. You will also help evaluate new AI technologies—especially in vision and multimodal models—to support the team’s research and development direction.【Responsibilities】1. Develop and optimize computer vision models such as classification, segmentation, detection, and generative models.2. Research and apply the latest advancements in Vision AI, multimodal models, and Generative AI to support practical implementation.3. Support the full model development workflow, including data preparation, training, evaluation, and deployment.4. Work with cross-functional teams (software, process, automation, quality) to integrate AI models into inspection or manufacturing processes.5. Build and maintain experimentation workflows, conduct model benchmarking, and assist with continuous improvement.6. Prepare documentation for model architecture, training methods, experiment results, and deployment guidelines.7. Communicate effectively with global teams to ensure requirement alignment and smooth project execution.8. Complete tasks assigned by supervisors.

【Position Overview】1. Execute and implement cost-effective methods of testing and troubleshooting programs.2. Prepares test and diagnostic programs and completes specifications and procedures for new products.3. Plans the methods and schedules as required for testing and evaluating standard and special devices.【Responsibilities】1. Implement test program of driver project.2. Debug the testing issue.3. Support the testing house ramp up for mass production, including the H/W and test program.4. Analysis of low yield in mass production.5. Support assembly reliability qualification test.6. Optimize Maintain the Probecard / Loadboard for mass production.7. Perform other assignments as assigned by the supervisor.

【Position Overview】Create and manage production schedules, forecasts demand and ensures raw materials, equipment, and labor are available to meet production goals efficiently and cost-effectively. Key responsibilities include monitoring inventory levels, coordinating with various departments like purchasing and sales, resolving production disruptions, and analyzing performance to identify process improvements.【Responsibilities】1. Manage and create weekly production schedules.2. Ensure materials and packaging are available to meet demand.3. Monitor and control daily production processes and plans.4. Collaborate with quality control, warehouse staff, and other departments.5. Create and present status and performance reports.6. Follow supervisor's work arrangements.

【Position Overview】1. Data Integration for Analytics – Combine data from different applications, formats, and locations to enable easier correlation analysis and provide a comprehensive view of business and operational performance, ensuring broader data coverage and automated traceability across the value chain.2. Unified NPI Data Platform – Support the development of a unified NPI Data Platform to break down long-standing data silos and enable cross-site automatic correlation coverage.3. Scalable Data Foundation – Establish an analytics-ready data foundation through data ingestion, cleansing, preprocessing, labeling, and transformation to support scalable analytics and automation.【Responsibilities】1. Led the development of a fully automated Foundry Die Map collection and parsing engine. 2. Support engineers to devolops computer programs to collect and integrate data.3. Resolve the pain point of heavy reliance on semi-manual coordinate alignment, achieving strong site-to-site correlation from Silicon Waste to Final Test4. Responsible for the entire process of Database Schema design and database performance optimization from Silicon to Final Test.5. Toward transforming raw data into meaningful and valuable information. 6. Data mining, data analysis, data processing.7. Complete tasks assigned by supervisors.

【Position Overview】Lead and support CIS (CMOS Image Sensor) Wafer-Level CSP packaging process development with OSAT partners in China and Taiwanto drive project execution, ensure manufacturing readiness, and conduct quality and system audits prior to mass production. The positionalso requires strong cross-functional coordination within the company.【Responsibilities】1. Develop and optimize CIS WLCSP packaging processes from NPI to mass production.2. Drive project execution and technical alignment with OSAT partners.3. Lead pre-HVM quality and system audits to ensure manufacturing readiness.4. Resolve packaging process, yield, and reliability issues for new technology.5. Collaborate with RD, Product, Quality, Supply Chain, and Manufacturing teams.6. Complete tasks assigned by supervisors.

【Position Overview】● Develop and implement cost-effective methods of testing and trouble shooting program. ● Prepares test and diagnostic program, and completes specifications and procedure for new products. ● Plans the methods, schedules as required for testing and evaluating standard and special devices.【Responsibilities】1. Develop the CIS System Level Test/Wafer sort test program.2. Debug the Testing H/W issue. 3. Support the testing house ramp up for mass production, including the H/W and Test program. 4. Support RD collect the Characterization datalog for process improving. 5. Develop/Modify the image process algorithm for all testing failure mode. 6. Increase the test fault coverage to reduce the RMA DPPM. 7. Prepare the customer engineering samples 8. Support Assembly reliability qualification test. 9. Develop the Probecard/Loadboard for mass production.10. Perform other assignments as assigned by the supervisor.

【職務說明】Package Engineer 主要負責 PCB 與 IC 封裝佈局的執行與優化，並與外部供應商以及內部 RD、HW 團隊協作，確保佈局品質、可製造性、可靠度及專案時程的順利完成。【工作內容】1. 執行與優化 PCB 與 IC 封裝佈局相關作業。2. 理並協調外部供應商，確保品質、文件完整性及交期達成。3. 與 RD、HW 團隊密切合作，支援技術需求與專案里程碑。4. 評估佈局的可製造性、可靠度與成本影響。5. 協助問題排除、佈局更新及專案相關技術作業。6. 完成主管交辦之其他任務。【Position Overview】The Package Engineer is responsible for PCB and IC package layout implementation, supplier coordination, and cross-functional collaboration with RD and HW teams. This role ensures layout accuracy, manufacturability, reliability, and timely project execution.【Responsibilities】1. Perform PCB and IC package layout implementation and optimization.2. Manage and coordinate with external suppliers, ensuring quality, documentation completeness, and schedule adherence.3. Collaborate closely with RD and HW teams to support technical requirements and project milestones.4. Evaluate layout manufacturability, reliability, and cost impact.5. Support issue troubleshooting, layout updates, and project-related technical activities.6. Complete other tasks assigned by the supervisor.

※Internship Program※This is a semester-long internship (6M+), requiring a minimum of 20 working hours per week. Work schedule can be adjusted based on your class timetable in agreement with the supervisor.【Position Overview】1. Support to develop function from SQL to data visualization.2. Support to do data cleaning and labeling.3. Support to develop the function of statistical analysis for multi-dimensional data.【Responsibilities】Co-work with the data science team and support1. Development and review of data procedure.2. Data cleaning and labeling.3. Statistic function development.4. Other tasks assigned by supervisors.