Senior Staff Engineer, SoC Application Engineering

Principal Accountabilities and Key Responsibilities

• Act as a solutions specialist for applications and product development in advanced driver assistance systems (ADAS), automotive in-vehicle infotainment (IVI), connected gateways, and multi-domain fusion.
• Serve as the technical lead for regional customer support, coordinating with global support teams to provide world-class technical assistance, ensuring smooth transitions from design-in to mass production for customer product development.
• Support internal and external customer engagements from a technical perspective, including responses to RFIs/RFQs and deep dives into technical topics.
• Understand customer product features and requirements, analyze these against Renesas offerings, identify critical support needs, and propose solutions to overcome challenges.
• Participate in custom solution development based on specific customer project needs.
• Conduct technical meetings at various levels, including with customer executives, project leaders, and technical teams.
• Cook up and host technical debug sessions with domain experts from global teams.
• Prepare technical collaterals, workshop materials, and application notes while interacting with our global teams in Japan, the U.S., Europe, China, and Asia.
• Collaborate closely with the FAE team in the region and train the FAE team to enhance R-CAR SoC expertise.
• Prepare and showcase R-CAR SoC demos and proof-of-concepts (POCs).
• Deliver regular updates on customer projects to global AE directors and the leadership team.

Qualifications

• Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Software Engineering, or a related technical field.
• Over 10 years of experience related to embedded system software development.
• Proficiency in programming languages such as C and C++.
• Strong knowledge of embedded Linux, QNX, Android, AutoSAR, or FreeRTOS.
• Expertise in embedded system debugging techniques, including hands-on hardware/software debugging and troubleshooting.
• In-depth understanding of ADAS and IVI system design.
• Experience with BSP/middleware, IPC for heterogeneous/multi-core architecture, security, and functional safety.
• Experience with ADAS perception stack integration and Neural Network enablement on SoC NPU.