Fujitsu Research of America (FRA) is seeking a highly skilled Research Engineer with a strong background in full-stack development to join our research team. The ideal candidate will have extensive experience in both front-end and back-end development, as well as a passion for translating research findings into scalable, user-friendly applications. This role requires a deep understanding of software engineering principles, a collaborative mindset, and the ability to work at the intersection of research and development. The selected candidate will be based in FRA’s Pittsburgh office. 

Job responsibilities: 

Full-stack Development: Lead the design, development, and deployment of web applications and services that integrate cutting-edge research technologies. Research Collaboration: Work closely with researchers and engineers in our team to translate the developed research achievements into practical software solutions. System Architecture: Design and implement robust, scalable, and secure software architectures that support our research initiatives. Prototyping and Experimentation: Develop prototypes and proof-of-concept applications to test and demonstrate new research ideas. Code Quality and Best Practices: Ensure high-quality code by following best practices in software development, including code reviews, testing, and documentation. Project Management: Manage the full software development lifecycle of research projects, including planning, development, deployment, and maintenance. Paper Publication Contribution: Contribute partially to the preparation and publication of research papers, supporting the dissemination of the team's research findings.

 

Essential requirements: 

Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineer or a related field. 3+ years of experience in full-stack development, with a strong portfolio of web applications or software systems. Proficient in front-end development using languages such as React, HTML, and CSS. Strong back-end development skills in languages like Python and C++. Experience with version control systems, such as Git. Experience deploying machine learning or computer vision technologies into production using frameworks such as TensorFlow or PyTorch.

 

Preferred requirements:

Experience with environment setup for Python-based servers, such as Docker, Conda, Node.js, Flask, and others. Experience with application development in game engines, such as Unity, Unreal Engine, and other similar platforms. Experience with databases (SQL), API development, and cloud platforms (AWS, Azure). Academic publication record.

 

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