What you will do:

• Responsible for the development and optimization of onboard server systems within autonomous driving vehicles, focusing on ARM and X86 architecture.
• Lead the analysis and resolution of system failures, identifying critical paths and implementing RAS design principles to enhance system reliability.
• Design and oversee the data processing workflows for various autonomous driving sensors like cameras, LiDAR, radar, and GNSS, ensuring optimal system performance.
• Collaborate with functional safety engineers to develop and validate functional safety hardware, adhering to industry standards and practices.
• Manage high-speed signal interface performance, including PCI Express, GMSL, Ethernet, ensuring high performance and reliability.
• Develop and innovate solutions on company’s ADAS computing platforms, aligning with project goals and requirements.
• Engage in collaborative problem-solving with cross-functional teams, contributing to team efforts and project success.
• Stay updated with industry trends and advancements in autonomous driving technology to drive continuous improvement and innovation.

Requirements:

• Deep understanding of X86, ARM architectures and proficient in GPU functionality and optimization. Experience in ARM server development is required.
• Deep knowledge of server hypervisors and virtual machines, with a focus on optimizing infrastructure, hardware, and software resource utilization, enhancing system performance, and ensuring high reliability and uptime.
• Ability to identify system single/multiple points of failure and critical paths, improving system stability through Reliability, Availability, and Serviceability (RAS) design.
• Proficient in data processing paths of sensors like cameras, LiDAR, radar, GNSS in the autonomous driving field, responsible for defining system performance, designing data/process flows, and validating optimal system solutions through experiments.
• Experienced in functional safety hardware development, understanding system safety mechanisms, and capable of defining, implementing, and validating functional safety designs of computing platforms in collaboration with functional safety engineers.
• In-depth knowledge of high-speed signal interfaces such as PCI Express, GMSL, Ethernet, etc.
• Perfer to have relevant development experience in developing Nvidia Drive/Jetson, Qualcomm or similar platforms.
• Strong knowledge of at least one key technology for autonomous driving, e.g., Perception, Motion Planning, Localization, Software Engineering, etc.