Hardware Reliability Engineer

Company Name:
Aurora Operations, Inc.

Job Location:

Mountain View, CA 94043. Employer will allow a hybrid work schedule.

Job title:

Staff Hardware Reliability Engineer

Minimum Salary: $230,000 - $290,000

Education:

Bachelor's degree in Mechanical Engineering, Electrical Engineering, or related

SOC Code: 17-2061

SOC Occupation

Title:

Computer Hardware Engineers

Duration:
Regular Hire

Work week:
Full-time

Supervision Experience

Required:

No

Travel:
Up to 15%:
Approximately 8x per year to facilities in Dallas, TX and Pittsburgh, PA.

• 3 years of experience in hardware reliability or related.
• Deep understanding of hardware reliability related to autonomous vehicles.
• Strong understanding of reliability testing methodologies, statistical analysis, Fishbone diagrams, 8D (Eight Disciplines) methodology, and fault tree analysis.
• Proficiency in SQL and Python for data analysis.
• Demonstrated understanding of hardware debugging and diagnostic tools for oscilloscopes and environmental sensors.
• Demonstrated experience conveying complex technical concepts to non-technical stakeholders.

• Develop and implement reliability testing protocols for computer-related hardware components in autonomous vehicles to ensure optimal performance across various environmental conditions.
• Confer with engineering staff and consult specifications to evaluate the interface between hardware and software and operational performance requirements of overall autonomous vehicle systems.
• Identify, diagnose, and resolve hardware-related issues impacting vehicle and fleet reliability.
• Analyze information from a fleet of autonomous vehicles to identify trends, predict potential hardware failures, and initiate corrective actions.
• Lead root cause analysis and corrective action processes for hardware-related failures related to autonomous vehicle technologies, ensuring data integrity and continuity across the fleet.
• Create and maintain documentation on reliability testing results, root cause analysis, and corrective actions to support continuous improvement initiatives.
• Provide technical support and guidance on hardware reliability issues to internal teams and external partners throughout product development and implementation process.