San Jose, US-United States
Posted 8 months ago
| 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. |
Job Features
| Job Category | Embedded Systems |
| Seniority | Staff IC / Tech Lead |
| Base Salary | $144,000 - $240,975 |
| Recruiter | aona.zhou@ocbridge.ai |
