Job Details
Algorithm Expert【Metal Inkjet Printing】
AI, Machine Learning | Computer Vision, Image Processing | Data Science, Data Engg | Simulation, Numerical Analysis
| Location | Koto-ku, Tokyo |
|---|---|
| Company | A startup developing metal inkjet printing technology to replace etching technology with less ecological footprint. Their technology is adapted to mass production by multiple clients. Year founded: 2014 Capital: 100 million yen Workforces: approx. 150 |
| Job Description | [ Hiring Background ] With a mission to "create a sustainable world through the power of innovative manufacturing," the company is challenging itself with the development of unprecedented technology that fundamentally revolutionizes the manufacturing process of printed circuit boards (PCBs), a fundamental product of the world. The company's high-precision inkjet manufacturing technology using AI technology and the metal inkjet printing equipment equipped with this technology are addressing the contemporary demands for nanotechnology innovation and sustainability, and are poised to bring about major change in the industry. This innovative manufacturing technology is currently entering a new phase, meeting advanced requirements such as even higher precision, higher speed, and double-sided printing. As hardware advances and customer demands become more sophisticated, software is required to solve ever more complex and challenging problems. A software-centric approach will push the limits of existing equipment. We are seeking new colleagues to accelerate the development of world-changing technologies. [ Job Description ] You will be responsible for improving the performance of high-precision inkjet manufacturing technology, specifically the overall development of algorithms to dramatically improve print quality. Beyond simple software development, you will also lead problem-solving from both theoretical and practical perspectives, from understanding and modeling physical phenomena to building and implementing rendering algorithms. Specifically, - Modeling the Physical World and Applying It to Algorithms: We analyze physical constraints such as ink impact characteristics, individual printhead differences, and equipment behavior, and formulate them as mathematical models. - Building Algorithms: We reframe business requirements, such as "minimizing printing time while maintaining a specified quality," as mathematical problems such as "combinatorial optimization" and "path search," and design and implement optimal algorithms. (For example, which nozzles should be ejected at what timing to maximize print quality while minimizing the number of scans?) - Developing Prediction and Control Models Using Machine Learning: We build regression models that accurately predict ink impact position based on ejection timing and nozzle differences, contributing to improved print accuracy. - Developing Control Algorithms: We develop algorithms that detect and calculate minute misalignments (angle misalignments) during double-sided printing, instantly correcting the ejection patterns of thousands or tens of thousands of nozzles. |
| Requirement | Requirements: - Experience modeling and formulating physical phenomena and real-world constraints - Deep knowledge and development experience of algorithms, such as combinatorial optimization, path finding, and graph theory - Master's degree or higher in applied mathematics, information science, physics, or a related engineering field, or equivalent knowledge and experience - Ability to analyze vague business requirements and clearly define them as problems to be solved Preferred Requirements: - Proven track record in competitive programming - Experience developing algorithms for controlling real-world objects, such as generating modeling paths for 3D printers, autonomous drone flight control, and robot arm control - Knowledge and development experience related to image formation processes, such as inkjet printers - Experience with image processing Expert knowledge of image processing and signal processing - Experience understanding and implementing machine learning theory (especially regression models) Desired candidate: - Enjoy establishing theoretical foundations and persistently searching for optimal solutions to unsolvable questions - Respect the fundamental principles of physics and hardware, and be passionate about maximizing their capabilities through the power of software - Ability to grasp true objectives beyond superficial requirements and redefine the given task at a higher level - Ability to constantly seek breakthroughs without settling for local solutions - Ability to empathize with the company's mission and the president's ambition to "change the world with Japanese science and technology," and enjoy this challenge together |
| English Level | Not required |
| Japanese Level | Business level |
| Employment Type | Permanent |
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