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 worlds 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 whats next in electronics and the world.
Job Description
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 divisions 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
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.
Qualifications
Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or related field; Ph.D. is a plus.
10 years of embedded system design and development of SoCs and/or ASICs.
Prior direct experience (> 5 years) in GPU/NPU based sub-system.
Great understanding of multiple key technology areas is expected (Camera/Image sensors, Graphics, Audio, Video, Display, AI/ML, Computer Vision, distributed systems, SoC architecture, RTOS).
Great verbal and written communication skills capable of discussing, summarizing, and documenting large complex embedded systems.
Good problem-solving abilities and the ability to analyze and address complex performance and scalability challenges.
Good programming skills in languages such as C, C++, and/or Python.
Good ability to translate and navigate business and customer needs into actionable items for software and hardware development teams.
Working knowledge with ML frameworks like PyTorch and TensorFlow.
Working knowledge of ARM and/or RISCV CPU.
Working knowledge of software stack components, such as compilers, runtime systems, job schedulers, and scientific libraries.
Preferences
Experience in performance optimization via software-hardware co-design is a plus.
Experience with engineering tools and workflows for large systems is a plus.
Experience with SystemC modeling is a plus.
Working knowledge with ARM and/or RISCV ISA is a plus.
Working knowledge with FPGA is a plus.
Working knowledge with OpenCL/CUDA/SYCL programming is a plus.
Working knowledge of system interconnects like GbE, PCIe, InfiniBand, etc is a plus.
Working knowledge with RTL design is a 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.
