Sr Staff Application Engineer

Job Description

The automotive AI Systems group within the High Performance Computing (HPC) department is seeking a (Junior) Machine Learning Engineer to support embedded system solutions and technical customer support in the field of Machine Learning / AI for its SOC automotive product line. As an application engineer, the position is an excellent opportunity to take an engineering role and collaborate extensively with various global teams including FAEs, software development, and product marketing as well as customers and key partners to establish undisputed leadership in embedded neural networks processing for Renesas s SoC solutions in the booming world of ADAS, and L3/L4 autonomous driving solutions. This role will enable a successful candidate to deliver value by accelerating the deployment of advanced ML use cases to our tailored automotive SoC and high-performance software solution and contribute to transforming the future of mobility towards autonomous driving. Responsibilities : Work closely with our customers on providing guidance to achieve the best performance, support system level integration, and removing roadblock. Based on feedback received and own evaluation, define requirements for innovative AI products, i. e. , software, tools, and hardware. Consider cycle count, memory size, and memory bandwidth constraints as optimization objectives. Providing support to field teams as needed to generate opportunities and facilitate design-ins. Conduct benchmarks of industry standard AI models and suites, emphasizing the competitiveness of our current and future platforms. Work closely with our hardware and software product development organization to validate the overall performance of our system solutions. Prepare training material and conduct workshops to train field teams and customers on Renesas innovative AI solutions. Support the development of cutting-edge demos and innovative reference samples. Qualifications An academic degree in Computer Science, Electrical Engineering, or similar. Hands-on knowledge of machine learning frameworks like PyTorch or TensorFlow, as well as expertise in designing and training different AI algorithms. Experience in working with embedded Linux operating systems. Basic knowledge in low-level system programming, debugging, and hardware architecture. Experience in programming heterogeneous / multi-core architectures and hardware accelerators (eg. SIMD, GPGPU, DSP). Hands-on mentality to drive own topics pro-actively. Strong analytical and excellent interpersonal communication skills. Cross cultural awareness and sensitivity. Excellent command of verbal and written English. Ability to work both independently and as part of a team in a global setting with internal and external stakeholders . 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.