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We’re searching for a Staff Hardware Reliability Engineer who will join the Hardware Reliability team to ensure the robustness of the Aurora Driver by leading reliability efforts for our next-generation sensor systems (Lidar, Camera, Radar, IMU). This is a high-impact opportunity to work at the forefront of autonomous vehicle technology, collaborating with world-class partners like Volvo, PACCAR, and Aumovio (formerly Continental) to bring a robust, scaled product to market.
Job Responsibility:
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
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
Facilitate Proactive Risk Mitigation: Lead Design Failure Mode and Effect Analysis (DFMEA) sessions and implement corrective action plans based on prior experience and testing
Develop Predictive Reliability Models: Create models to predict failure rates for integrated modules and individual sensors across diverse climates and road conditions
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
Requirements:
Extensive Experience in Sensor Validation: Proven track record in developing and validating optomechanical products, including cameras, lidars, or other optical instruments
Expertise in Physics of Failure: Deep understanding of the physics of failure for electronic and optoelectronic components as applied to sensor systems
Reliability Test Design: Strong ability to design and execute reliability test flows (shock, vibration, thermal) suitable for contract manufacturing environments
Technical Data Analysis: Proficiency in analyzing sensor performance data to generate actionable insights
Mass Production Background: Direct experience improving the reliability of mass-produced optomechanical assemblies and managing feedback loops with external vendors
Nice to have:
Industry Experience: Prior experience at leading R&D at automotive companies
Standards Knowledge: Familiarity with AEC-Q, ISO-16750, and other relevant automotive reliability standards
Manufacturing Experience: Experience evaluating the reliability of manufacturing and assembly processes as a product moves toward large-scale production
Hardware-Firmware Interaction: Working knowledge of the interactions between hardware and firmware critical to sensor performance
Breadth of Technical Skills: Conceptual understanding of material science, PCBAs (BGA structural integrity), and conformal coating impacts on humidity exposure