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Mid-Level Autonomous Driving Integration Engineer

Auburn Hills, United States
On-site

Role summary

The Mid-Level Autonomous Driving Integration Engineer will focus on the integration and optimization of high-bandwidth sensor data feeds into autonomous driving SoC memory buses. This role is critical for ensuring deterministic network synchronization and building efficient memory pipelines that power advanced perception algorithms.

Details

LocationAuburn Hills, United States
Work typeOn-site
LanguageEnglish

Responsibilities

  • Integrate and tune incoming high-bandwidth physical data feeds (Camera, Radar, LiDAR) onto main SoC memory buses
  • Configure deterministic network time synchronization (PTP/IEEE 1588) across compute nodes
  • Implement high-efficiency zero-copy memory pipelines to feed perception algorithms without CPU overhead
  • Debug data-drop and latency spikes at the hardware-software boundary for high-speed deserializers
  • Lead the bring-up of new autonomous driving compute platforms and sensor rigs

Requirements

Candidates should have a strong foundation in robotics or automotive platforms with a specific focus on hardware-software integration. The role requires deep technical knowledge of sensor interfaces and deterministic networking protocols to support high-speed autonomous systems.

Experience

Minimum 4 years of experience in hardware-software integration for robotics or automotive platforms.

Education

Bachelor’s or Master’s degree in Computer Engineering, Robotics, Electrical Engineering, or related field.

Team structure

The role involves working in a fast-paced, collaborative team environment.