HPC System Engineer

Posted on 6/18/2024



201-500 employees

Develops Level 4 autonomous driving solutions

Data & Analytics
Robotics & Automation
Industrial & Manufacturing
AI & Machine Learning
Consumer Goods

Compensation Overview

$144k - $241kAnnually

+ Annual Performance Bonus + Equity


San Jose, CA, USA

Required Skills
Data Analysis
  • 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.
  • Prefer 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.
  • 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.

WeRide specializes in Level 4 autonomous driving technologies, offering a range of products including Robotaxi, Robobus, Robosweeper, and Robovan, with strategic alliances with leading OEMs and mobility platforms. The company has developed over 20,000,000 kilometers of autonomous mileage and holds driverless test permits in both China and the U.S.

Company Stage


Total Funding



San Jose, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Employee Stock Plan

Competitive Compensation Package

100% Company Paid Premium Medical Plan

Team Building Activities

Paid Vacation And Time-off

Free Hot Breakfast, Lunch And Dinner