Software Development Engineering
About CADDi - Website (US Office): https://us.caddi.com/ - Youtube Video: https://www.youtube.com/@CADDi-Drawer_ Recruitment Background & Expected Role CADDi is on a mission to "Unleash the potential of manufacturing." We operate "CADDi DRAWER," a cloud-based system that supports digital transformation centered on the use of drawings, which are the most essential data in the manufacturing industry. Within manufacturing industries, various data modalities exist, with CAD (Computer-Aided Design) data being notably unique to the sector. Our product includes functionalities that process and leverage CAD data as valuable assets. Moving forward, we aim to significantly amplify these capabilities through advanced research and development. This role focuses on CAD data analysis and ML modeling. Expected Role CAD Data Analysis: - Research and development for automating 2D drawing generation from CAD data. - Understanding CAD data structures to research and develop methods for extracting essential elements such as holes, overall dimensions, and bends. - Multimodal Embedding for CAD and 2D Drawings: - Research and development on associating and performing similarity searches between data of different modalities (3D and 2D). Automated CAD Data Generation: - Research and development aiming for automatic CAD data generation from prompts by creating CAD commands using generative models. Product Integration with CAD Software: - Development for integrating our products with major CAD software like SolidWorks and NX, enabling users to utilize our functionalities directly within the CAD environment.
- 7+ years of exerience in similar positions - Foundational knowledge of algorithms related to machine learning, statistics, linear algebra, and computer science. - Experience in 3D data analysis. - Experience with team development using Git and CI/CD (e.g., GitHub Actions). - Basic understanding of container technologies like Docker. - Fluent business communication skills in English, ability to complete daily tasks in English, including text communication and meetings.(CEFR B1 or Higher level) - Must currently reside in Vietnam or have plans to relocate. Foreign nationals must also hold a valid Vietnam work permit or be legally eligible to work in Vietnam.
Interest and experience gained from this position Deep Industry Impact: You'll have the exciting opportunity to contribute to the core of the manufacturing industry – design, drawings, and CAD. Your algorithms and software will address inefficiencies and create significant impact. Core Product Development: CAD and drawing data are among the most critical data assets at CADDI. As a member of a lean, expert team, you'll contribute to organizational management and technical strategy, with potential career paths to Tech Lead or Manager roles. Working style: - Hybrid (come to Office at least once a week) - Remote (depending on the case, and limited to those who can go on business trip due to Company orders) Holidays and leave: - Annual paid leave: 12 days - National holidays - Year-end holidays (December 31 to January 2) - Tet holidays - Others (following Labor Regulations) Benefits: - Salary review twice a year. - Employee Stock-option - 13th month salary - Salary review: every 6 month - 100% monthly basic salary and mandatory social insurances in 2-month probation - Premium Health Insurance - Social insurance, health insurance, unemployment insurance, workers’ accident compensation insurance - Annual health check-up - Intensive training program (external or internal training courses, workshop etc) - Devices: PC and display of desired specifications - Awards: Company awards, every 6 month MVP awards - Activities: Year-end-party, team building, etc
- Experience in CAD plugin development or development using CAD SDKs. - Experience working with 3D or 2D CAD/drawing data. - Experience with graphics libraries such as WebGL, OpenGL, Metal, or Vulkan. - Experience with GPU-accelerated parallel computing programming (e.g., CUDA, OpenCL). - Experience with releasing and operating machine learning models in a production environment. - Experience with infrastructure building and operation using cloud platforms like Google Cloud or AWS. - Experience with designing, developing, and operating large-scale data processing platforms.
EM
Round 1: Hackerrank test + English test (can skip if the candidate passed english check) Round 2: Technical interrview Round 3: Final interview