AI Compiler Engineer, Math/System Acceleration and Validation Full-time

Company Description

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.

Overview

We are seeking a talented and motivated AI Math/System Acceleration and Validation Engineer to join our team. In this role, you will be part of the AI & Cloud Engineering (ACE) Division and Hybrid Compiler team.

The team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to explore new DL/ML model architectures, combined with auto-tuned high performance for production environments across a wide range of hardware architectures. The compiler framework, ML graph optimizations and kernel authoring specific to the hardware impacts performance, developer efficiency & deployment velocity of both AI training and inference platforms. You will be developing AI compiler frameworks to accelerate machine learning workloads on the next generation of AI hardware. 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.

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.

Job Description

• Development of AI compiler framework, high performance kernel authoring and acceleration onto next generation of hardware architectures.
• Contribute to the development of the industry-leading machine learning framework core compilers to support new state of the art inference and training machine learning/AI accelerators and optimize their performance.
• Collaborating with AI research scientists to accelerate the next generation of deep learning models such as recommendation systems, computer vision, or natural language processing.
• Develop core mathematical and system acceleration libraries and strategies to further accelerate AI workloads
• Analyze deep learning networks, estimate target latency and accuracy.
• Development of profiling tools for finding bottleneck parts of AI accelerators and models.
• Development of optimized inference application.

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
• 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 Product Owner of scrum team is plus.

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.