Edge AI / Embedded AI Development Tool Engineer
Renesas Electronics24 days ago
Kodaira, JapanMid Level
Responsibilities
- Define specifications, design, implement, and evaluate Embedded AI development tool products.
- Develop tools that enable deployment of AI models onto embedded devices.
- Build visualization and tuning capabilities for AI performance and results.
- Account for embedded-system resource constraints such as performance and memory.
- Design intuitive, user-friendly UIs that help engineers work efficiently.
Requirements
- Basic knowledge of AI or machine learning, or hands-on experience with TensorFlow or PyTorch.
- Fundamental understanding of embedded software and the C language.
- Experience developing PC-based and/or cloud-based applications.
- Business-level Japanese proficiency equivalent to JLPT N2.
- Communication-level English proficiency.
- Preferred experience designing and developing GUI applications with Java or C#, including user-centric UI/UX design.
- Preferred experience owning the full software development lifecycle from specification and design through implementation and evaluation.
- Preferred experience designing and developing cloud tools and web applications, including architecture, APIs, and front-end and back-end development.
Benefits
- Regular permanent employment (PERM).
- Competitive compensation and comprehensive benefits, with details provided during the selection process.
- Remote work is not available.
About Renesas Electronics
Renesas Electronics designs and sells microcontrollers, analog and power ICs, and connectivity solutions for automotive, industrial, infrastructure and IoT manufacturers. Its portfolio spans embedded processing, power management and ADAS-ready components, sold directly and through channels to OEMs and Tier-1 suppliers, with software and development tools to integrate them. Founded in 2010 and headquartered in Tokyo, it is a public company on the Tokyo Stock Exchange and has expanded through acquisitions including Intersil and Dialog Semiconductor.