Site Reliability Engineer
ルネサスエレクトロニクス株式会社
- AWS
- GCP
- Azure
- Kubernetes
- Infrastructure as Code
- Site Reliability Engineer
- Shell scripting
- Linux System Administration
- Cloud technologies
- CI/CD Pipelines
- Automated testing frameworks
- Network troubleshooting
- Containerization technologies
- HILS (Hardware in the Loop Simulator)
- SILS (Software in the Loop Simulator)
- Automotive AI Software Development
- AI & Cloud Engineering
- AI Workbench
-
Tokyo, Outside Japan
-
1,001 to 10,000
Company Info
The company applies cutting-edge edge AI technology and machine learning algorithm to provide state-of-the-art IoT solutions. By implementing autonomous inspection systems, it aims to support the digital transformation of Japanese railways and contribute to society. It utilizes open-source AI framework and conducts AI engine development for MCUs to support various customer needs.Job Summary
In this position, you will be responsible for the design, construction, and maintenance of the AI Workbench in the environment of the Cloud Engineering (ACE) Division and AI Workbench, which accelerates the development and evaluation of autonomous driving AI software. We are seeking rich expertise in cloud technology and a strong problem-solving ability. In addition, you will be involved in the development and deployment of applications that connect with the Autonomous Driving System and closely collaborate with high-integrity and expandable applications.Duties
As an AI & Cloud Engineering (ACE) Division and AI Workbench team member, you will design, construct, and maintain the infrastructure of the AI Workbench in the environment of the Cloud Engineering (ACE) Division, which accelerates the development and evaluation of autonomous driving AI software. You will also be responsible for providing functions as part of the SILS (Software in the Loop Simulator) and HILS (Hardware in the Loop Simulator) and supporting the maintenance of the AI Workbench. You will also be responsible for connecting and supporting the latest AI and cloud technologies to develop the best AI recommendations for autonomous driving cars and other hardware and software components.Login to see all information about offers.
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