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Internship Software Engineer Japanese Jobs in Michigan

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

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Internship Software Engineer Japanese information

What are the key skills and qualifications needed to thrive as an internship software engineer Japanese, and why are they important?

To thrive as an Internship Software Engineer (Japanese), you typically need foundational programming skills, knowledge of software development principles, and proficiency in both Japanese and English languages. Familiarity with development tools such as Git, integrated development environments (IDEs), and possibly certifications in programming languages like Java, Python, or C++ are valuable. Strong teamwork, communication, and adaptability are essential soft skills for collaborating within multicultural and cross-functional teams. These skills and qualifications are crucial for effectively contributing to projects, understanding technical requirements, and succeeding in a global work environment.

What does an internship software engineer Japanese do?

An Internship Software Engineer Japanese is a student or recent graduate who works on software development projects, often supporting engineering teams with coding, testing, and debugging tasks. This role typically requires proficiency in programming languages and an understanding of software development processes. In addition to technical skills, Japanese language proficiency is important for communicating with team members, writing documentation, and collaborating on projects that involve Japanese clients or markets. Interns gain practical experience, learn industry best practices, and often contribute to real-world applications during their internship.

How do internship software engineers typically collaborate with other team members in a Japanese work environment?

Internship Software Engineers in Japan often work closely with both senior engineers and cross-functional teams, such as product managers and designers. Collaboration usually involves regular stand-up meetings, code reviews, and pair programming, which help interns quickly learn industry best practices and company-specific workflows. Open communication and a willingness to ask questions are highly valued, and many teams encourage interns to contribute ideas during project discussions. Adapting to the team’s communication style and participating in group activities can help interns build strong professional relationships and make the most of their learning experience.
What are the most commonly searched types of Software Engineer Japanese jobs in Michigan? The most popular types of Software Engineer Japanese jobs in Michigan are:
What cities in Michigan are hiring for Internship Software Engineer Japanese jobs? Cities in Michigan with the most Internship Software Engineer Japanese job openings:
Infographic showing various Internship Software Engineer Japanese job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Software Engineer

FEV North America, Inc

Auburn Hills, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Type
Full-time
Description
Support the development and deployment of next-generation software solutions in the areas of Generative AI, Physical AI, Cloud Computing, and Embedded Systems. The position will contribute to the design, implementation, testing, and integration of software products while collaborating with multidisciplinary engineering teams. The engineer is expected to continuously develop technical skills and actively participate in innovation initiatives supporting automotive and intelligent mobility applications.
  • Develop software applications and services using modern programming languages and development frameworks.
  • Support the development and deployment of Generative AI solutions, including AI assistants, intelligent automation tools, and machine learning applications.
  • Contribute to Physical AI projects involving robotics, autonomous systems, digital twins, simulation environments, and sensor-based applications.
  • Develop and maintain cloud-native applications and services on platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Support embedded software development activities for automotive and edge-computing systems when required.
  • Participate in software architecture design, coding, unit testing, debugging, and validation activities.
  • Collaborate with systems, software, data, and hardware engineers to deliver integrated solutions.
  • Develop APIs, data processing pipelines, and software tools to support engineering projects.
  • Participate in code reviews and ensure compliance with software quality standards.
  • Document software designs, technical solutions, and development activities.
  • Stay current with emerging technologies in AI, cloud computing, and software engineering.

Requirements
  • Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field.
  • 0-3 years of software development experience.
  • Academic, internship, capstone project, or personal project experience in software development is acceptable.
  • Experience in one or more programming languages such as Python, C++, C#, Java, or JavaScript.
  • Exposure to embedded software development, Linux, RTOS, or automotive software development is considered an advantage.
  • Strong analytical, problem-solving, and communication skills.
  • Self-motivated with a willingness to learn new technologies and work in fast-paced engineering environments.
  • Solid understanding of software engineering fundamentals, algorithms, and object-oriented programming.
  • Knowledge of AI/ML concepts and interest in Generative AI technologies.
  • Familiarity with cloud platforms (Azure preferred).
  • Understanding of software development lifecycle and Agile methodologies.
  • Experience with Git or similar version control tools.