Cloud Engineer

at  Renesas Electronics

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

• Design, develop, deploy, and manage cloud-based AI software for our self-driving vehicle customers.
• Leverage cloud native technologies and environments (GitHub/GitLab, Terraform, Docker, Kubernetes etc) to deploy our products on our multiple cloud provider infrastructures (Amazon Web Services etc).
• Design the implementation and management of our AI solutions using the latest cloud technologies to make our internal and customer engineer’s life easier and meet their AI workflow needs.
• Collaborate with research scientists, software engineers and business owners to align cloud engineering requirements and priorities.
• Collaborate with teams outside your organization to manage cross functional dependencies.

QUALIFICATIONS

• Bachelor’s or Master’s degree in computer science, machine learning, mathematics, physics, electrical engineering or related field.
• Experience in C/C++, Python, or other related programming language
• 3 years’ experience with software engineering, including working with one or more cloud environments.
• 2 years’ experience deploying applications working with cloud technologies (eg Kubernetes, Docker, Terraform) on one or more cloud providers (eg Amazon Web Services, Microsoft Azure, Google Cloud)
• Familiar with concepts of machine learning, data science or AI frameworks (eg TensorFlow/Keras, PyTorch, Pandas), and ML tools (eg Weights and Biases, MLFlow).
• Ability to speak and write in English at a business level.
  Additional Information
  Renesas Electronics Corporation empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The 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 www.renesas.com.
  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.
  Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement

Please refer the Job description for details