Staff Hardware Reliability Engineer - Sensors

Aurora Innovation Aurora Innovation · Robotics · Mountain View, CA · Hardware

Staff Hardware Reliability Engineer focused on ensuring the robustness of sensor systems (Lidar, Camera, Radar, IMU) for autonomous vehicles. This role involves leading reliability assessments, failure analysis, risk mitigation through DFMEA, developing predictive reliability models, and collaborating cross-functionally with design, systems engineering, safety, and manufacturing teams. Requires extensive experience in sensor validation, physics of failure, reliability test design, technical data analysis, and mass production background.

What you'd actually do

  1. Lead Sensor Reliability Assessments: Conduct rigorous reliability evaluations and design test campaigns for both internal and external sensor designs to ensure they meet our rigorous automotive standards.
  2. Drive Failure Analysis (FA): Take ownership of complex reliability failures, and shepherd corrective actions in the form of near term mitigations and longer term design or process fixes.
  3. Facilitate Proactive Risk Mitigation: Lead Design Failure Mode and Effect Analysis (DFMEA) sessions and implement corrective action plans based on prior experience and testing.
  4. Develop Predictive Reliability Models: Create models to predict failure rates for integrated modules and individual sensors across diverse climates and road conditions.
  5. Collaborate Cross-Functionally: Work with Hardware Design, Systems Engineering, Hardware Safety, Field Operations, Emedded Software, and contract manufacturers to integrate reliability findings into the design and manufacturing processes.

Skills

Required

  • Extensive Experience in Sensor Validation
  • Expertise in Physics of Failure
  • Reliability Test Design
  • Technical Data Analysis
  • Mass Production Background

Nice to have

  • Industry Experience
  • Standards Knowledge
  • Manufacturing Experience
  • Hardware-Firmware Interaction
  • Breadth of Technical Skills

What the JD emphasized

  • extensive experience in sensor validation
  • mass production background
  • rigorous automotive standards