AI Staff Cloud Software Engineer

Company Description

Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.

Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.

Job Description

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 a Software Architect - Cloud, you will lead in designing and implementing the best-in-class software architecture for multiple AI software products for internal and external customers. You will work closely with multiple engineering teams to align on both high-level architecture and implementation details. You will apply software development best practices to design features, improve performance and deliver software. You will gain valuable experience in architecting commercial grade software 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

• Collaborate with Product Managers to determine technical requirements.
• Use tools and methodologies to create representations for functions and user interface of desired product.
• Define next generation AI Cloud architecture direction based on data analysis and collaborate with engineering and cross-functional teams to deliver the best hardware/software solutions with attention to system integration and feasibility.
• Define all aspects of cloud development from appropriate technologies and workflow through to coding standards.
• Oversee progress of development team to ensure consistency with initial architecture design.
• Ensure software meets all requirements of quality, security, modifiability, extensibility etc.
• Provide technical guidance and mentorship to junior team members and other stakeholders, fostering knowledge sharing and best practices within the Cloud architecture domain.

Qualifications

• Bachelor’s or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field.
• Excellent knowledge of software design and architecture
• Experience in SaaS and/or PaaS.
• Experience designing, building, and maintaining solutions on at least one of the following cloud providers: AWS, Azure, GCP
• Familiar with containers (Kubernetes, Docker, Openshift etc.)
• Understanding of software quality assurance principles
• High quality organizational and leadership skills
• Experience working with machine learning frameworks such as PyTorch, TensorFlow