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 work closely with AI researchers to analyze deep learning models and how to lower them efficiently on AI platforms. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks 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 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.
Responsibilities
- 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.
