Overview
We are seeking a talented and motivated System Architect (AI Sub-system) to join our R&D team to own, define, and drive exploration and design of our next generation AI sub-system involving multi heterogeneous devices in high performance computing (HPC) SoCs
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
- Participate and lead in the system solution design of next generation multi-core multi-chip AI sub-system that scales beyond 1000s TOPS for high performance computing.
- Perform system validation, use case validation, performance analysis, benchmarking, modeling to identify performance bottlenecks, and system parameters optimization.
- Deliver optimized solutions that meet the demanding requirements of HPC workloads and articulate them effectively across stakeholders ranging from toolchain, software and hardware teams, domain experts, and to technology leadership.
- Collaborate with hardware teams to design and optimize the system's computational components, including processors, accelerators, interconnects,and memory subsystems.
- Collaborate with software developers to define and implement software frameworks, libraries, and tools that maximize performance and productivity on the target HPC architecture.
- Collaborate with domain experts and application developers to understand the unique requirements of specific workloads and propose tailored architectural solutions.
