Site Reliability Engineer, AI Workbench

Job Description

Overview 

We are seeking a skilled and experienced Site Reliability Engineer to join our team. In this role, you will be part of the AI & Cloud Engineering (ACE) Division and AI Workbench team. Our AI Workbench is a cloud-based environment to accelerate Automotive AI Software Development and Evaluation. The AI Workbench has 4 main functional blocks today, with one of those blocks providing access to both SILS (Software in the Loop Simulator) and HILS (Hardware in the Loop Simulator). 

As a Site Reliability Engineer – ACE, you will be responsible for designing, building, and  maintaining our infrastructure. You should have a strong background in cloud technologies and excellent problem-solving skills. You will work closely with multiple engineering teams (and cross-function teams) to support their infrastructure requirements.

Responsibilities   

• Design, build, and maintain our division’s infrastructure that supports our application development, with a focus on reliability, scalability, and performance.  

•  Implement and automate deployment, monitoring, and scaling processes to ensure the smooth operation of our systems and services.  

• Monitor system performance and reliability metrics, troubleshoot issues, and implement solutions to prevent downtime and improve efficiency.  

• Collaborate with our teams Engineers to design, develop, and deploy reliable and scalable applications. 

• Develop and maintain tools and scripts for automation, configuration management, and monitoring of our infrastructure and applications. 

• Respond to incidents and emergencies to minimize downtime and ensure reliability of or systems.  

• Continuously evaluate and improve our infrastructure, processes, and practises to enhance reliability, scalability, and efficiency.  

• Stay up-to-date with industry trends, best practises, and emerging technologies in site reliability engineering and cloud computing. 

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 

• Experience working as a Site Reliability Engineer or in a similar role. 

• Programming skills in languages such as Python, Java, or similar. 

• Hands-on experience with cloud platforms such as AWS, Azure, or GCP. 

• Experience with containerization technologies such as Docker and container orchestration platforms such as Kubernetes. 

• Proficiency in Linux system administration, shell scripting, and network troubleshooting.  

• Experience with infrastructure as code tools such as Terraform, Ansible, or similar.  

• Knowledge of CI/CD pipelines and automated testing frameworks. 

• Strong analytical and problem-solving. 

• Excellent communication and collaboration skills.

Additional Information

Our division’s mission is to use the latest AI and cloud technologies to develop the best AI inference for advanced driver safety engineers building self-driving vehicles and other high performance compute products.
Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to develop the infrastructure required to deploy our AI software to the billions of devices we ship to customers every year.
You will join our newly formed AI & Cloud Engineering organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is lots of room for you to help us grow the team together while remaining small.
Our team’s key locations are Tokyo, London, Paris, Dusseldorf, Beijing, Singapore, Ho Chi Minh City and other metropolitan areas, but you can also join fully remotely from other locations globally or get our support to relocate to our key hubs such as Tokyo. 

ルネサスは「人々の暮らしを楽（ラク）にする」技術で持続可能な将来を築いていく日本を代表する半導体企業です。自動運転やIoTなど多様な分野において、先進的な製品やソリューションを提供しています。当社の製品は、世界中の主要な電子機器メーカーに採用され、日々の暮らしに欠かせない身の回りのあらゆる電子機器に使用されています。 当社では世界25カ国の製造・開発・販売拠点において20,000人以上の従業員が働いています。グローバルチームとして、すべての従業員が、行動指針である「Renesas Culture」をもとに、互いに学習、協力、成長、目標に向けて前進しながら、日々さまざまな課題解決に取り組んでいます。 当社を取り巻く環境は近年の活発な大型M&Aを含めて、他に類を見ないほどダイナミックに動いています。今後もインフラやデータエコノミー関連の急成長市場でのシェア拡大や、産業/IoTや自動車分野でのプレゼンス強化を図ります。変化の激しい中、グローバルチームの一員として、私たちと一緒に持続可能な将来を築いていただける方をお待ちしています。