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Model/Middleware/Driver Optimization Engineer, Customer Engineering
7 months ago
Job Description
Overview
We are seeking a talented and motivated Model/Middleware/Driver Optimization Engineer to join our team. In this role, you will be part of the AI & Cloud Engineering (ACE) Division and Customer Engineering team. Our Customer Engineering team is a global team helping customers easily use our software tools and services. The Customer Engineering team supports customers on our current and future SOC platforms as well as custom projects and proof of concepts.
Our team has been supporting customers for the optimization, customization and improvement of Renesas AI products and gives feedback to the development of AI products and models to achieve success of customers’ programs. You will work closely with developers of AI products and models and gain valuable experience in AI product deliveries and will help in driving next generation AI hardware & software.
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. We are focusing on our hiring into our Tokyo, Beijing and Singapore sites. If you are successful and living outside of these cities, we can support your relocation to one of the three sites based on team needs.
Responsibilities
Contribute to the development of the industry-leading AI products by supporting new state of the art inferences and customer programs.
Collaborating with AI development engineers, Technical program managers and Customer support engineers to accelerate delivery of next generation AI products and models for customers.
Customization of Renesas AI products including deep learning networks, implementation of compiler optimization algorithms, AI compiler kernel development, etc.
Qualifications
Bachelor’s or Master’s degree in computer science, information technology, machine learning, mathematics, physics, electrical engineering or any related field.
Experience in C/C++, Python, or other related programming language
Experience in accelerating deep learning models or libraries on hardware architectures.
Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX etc.
Ability to speak and write in English at a business level.
Experience of Scrum based development is a plus.
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.