CADDi makes enterprise software for the manufacturing industry.
We aim to drive digitalization in the manufacturing industry, where many areas still suffer from a lack of clear standards. Establishing the industry standard is the key to streamlining and improving day-to-day operations and processes. This will require robust and flexible software development through data models that can adapt to changes in the industry.
Our software truly reflects each user’s on the ground operations. Understanding their operating process and its components, then selecting suitable data design and structure will help redefine and optimize their tasks.
For more details on CADDi’s business, please see our official site’s page on our globalization effort.
We work in small teams using Scrum
Our development teams typically have four or five members, and are supported by a Tech Lead and Engineering Manager. The development cycles are based on Scrum, and we use JIRA to track tasks.
Choice of fully remote or visiting the office
We allow employees to work fully remotely. Though our head office is in Tokyo, you can live anywhere in Japan.
An increasingly international team
There are over fifty members in our rapidly growing engineering team, and about four of them come from international backgrounds. We have plans to accelerate our overseas expansion starting this year, and the number of international members will increase rapidly. Though our main language is Japanese, we don’t require any Japanese ability, as some of our members speak English, including the CTO who is a native English speaker.
We support relocation from overseas
If you aren’t in Japan yet, we welcome you to apply. We’ll help you obtain a visa and provide relocation support. While waiting to be relocated, you’ll work remotely. Because we do a fair amount of synchronous work, we’ll have you work Japanese business hours (an eight hour work day plus one hour lunch, sometime between 9:00 and 20:00 JST).
Our response to COVID-19
We’ve transitioned to remote work to ensure employees safety during COVID, and we’ll continue this even after it subsides. While we’re open to considering engineers looking to relocate to Japan, travel restrictions have made it difficult to give a clear timeframe for relocation. Should we extend you an offer, we’ll apply for a certificate of eligibility for you, that will make obtaining a visa trivial once the borders open, and we’re open to making special accommodations, such as starting you on a remote contract.
About the position
At CADDi, we have a massive amount of technical drawings, corresponding quotations, along with data describing the required manufacturing processes. By processing these data into a form that is easier to utilize and quickly implementing the cycle of hypothesis testing, we aim to find answers to the problems faced by the manufacturing industry.
Besides what we already have, there is a lot more data out there that hasn’t been fully utilized. Assessing valuable data and preparing it for utilization is the key to taking the burden off this industry.
- Leveraging existing data assets to discover new value for the corporation
- Analysis of base data to obtain hypotheses concerning business and operational improvement
- Developing new user-facing features that combine CADDi’s domain expertise, data assets, and operational excellence
- An understanding our mission to unleash the potential of manufacturing
- 3+ years of experience utilizing machine learning methods to solve business problems
- Experience delivering services in a production environment in the cloud (AWS, GCP, Azure, etc)
- Self-driven, and can operate both independently and also as a team member
- Able to exercise strong problem solving skills to deliver customer value
- Strong fundamental skills in linear algebra, calculus, and statistics
- Experience in application development or analysis work with Python, MATLAB, or R
- Experience with machine learning frameworks (PyTorch, Tensorflow, scikit-learn, LightGBM, etc)
- Experience using SQL for data analysis
- Experience using version control systems such as Git
Nice to haves
These aren’t required, but be sure to mention them in your application if you have them.
- Experience with GPU-based data processing (CUDA, OpenCL, etc)
- Experience working with data pipeline technologies such as Airflow, Apache Beam, Spark, etc.
- Past participation in data analysis contests such as Kaggle
- Comfortable reading research papers from major journals
- Experience utilizing numerical optimization methods (continuous, discrete, or combinatorial)
5 - 12 million JPY annually.