Software Engineer - MLOps.

Job Description

*Hiring will be into all Renesas EMEA and APAC offices, either for hybrid work or remotely*

In this role, you will be part of the AI & Cloud Engineering (ACE) Division and MLOps team. We are developing a comprehensive AI strategy that delivers a highly flexible platform to explore new Deep Learning / Machine Learning model architectures, combined with auto-tuned high performance for production environments across a wide range of hardware architectures. The platform can improve performance, developer efficiency & deployment velocity of both AI training and inference.   

As an MLOps team member, you will develop the best-in-class software toolchain for AI software & hardware to support internal and external customers, which serves as the backbone of all products in our division. You will work closely with AI engineers to build innovative software tools to power the entire AI development lifecycle from developing and analyzing AI models to testing and loading the models on the hardware. You will then integrate the tools into a software platform delivered to our customers. You will apply software development best practices to design features, improve performance and deliver software. You will gain valuable experience in developing commercial grade MLOps products and will help in driving next generation hardware software co-design for AI domain specific problems.     

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 deploy your 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. 

Responsibilities 

• Design the AI/ML pipelines and engineering infrastructure to support internal and external machine learning systems at scale.  

• Develop and deploy scalable tools and services to handle machine learning training and inference.  

• Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems.  

• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.  

• Support model development, with an emphasis on auditability, versioning, and data security  

• Facilitate the development and deployment of proof-of-concept machine learning systems.  

• Communicate with clients to build requirements and track progress.  

Qualifications

• Bachelor’s or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field.  

• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)  

• Strong software engineering skills in complex, multi-language systems  

• Experience in C/C++, Python, or other related programming language  

• Experience working with cloud computing and database systems  

• Experience building custom integrations between cloud-based systems using APIs  

• Experience developing and maintaining ML systems built with open source tools  

• Experience developing with containers and Kubernetes in cloud computing environments  

• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)  

• Understanding of software testing, benchmarking, and continuous integration  

• Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX etc.  

• Understanding of System-on-Chip is a plus.  

  • Ability to speak and write in English at a business level. 

Additional Information

Renesas Electronics Corporation (TSE: 6723) empowers a safer, smarter and more sustainable future where technology helps make our lives easier. A leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at renesas.com. Follow us on LinkedIn, Facebook, Twitter, YouTube, and Instagram.  

Renesas’ mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders.  

We are committed to creating a diverse culture where everyone is included and feels a sense of belonging. For more information, please read our Diversity & Inclusion Statement. 

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。