Staff Hardware Reliability Engineer - Compute

$181,000 - $290,000/Yr

Aurora Innovation - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

Professional, Scientific, and Technical Services

About the position

The Staff Hardware Reliability Engineer - Compute will lead the hardware reliability testing and validation for automotive computers used in autonomous vehicles. This role is crucial in ensuring the robustness and dependability of hardware systems, collaborating with cross-functional teams to maintain high reliability standards and drive continuous improvement in hardware design and development processes.

Responsibilities

• Lead and oversee hardware reliability testing and validation for automotive computers used in autonomous vehicles.
• Collaborate with cross-functional teams, including firmware, mechanical, software, and manufacturing teams, to ensure overall system reliability.
• Develop, implement, and monitor reliability testing protocols, including stress tests, environmental tests, and failure mode analysis.
• Analyze failure data to identify root causes of hardware reliability issues and implement corrective actions.
• Provide guidance and support to firmware teams to ensure hardware and firmware integration maintains high reliability standards.
• Create detailed reports on reliability testing, findings, and corrective actions and present them to stakeholders.
• Drive continuous improvement in hardware design and development processes to meet automotive reliability standards.

Requirements

• Bachelor's or Master's degree in Electrical Engineering (EE) or a related field.
• Proven experience (5+ years) in hardware reliability engineering, preferably in the automotive or autonomous vehicle industry.
• Strong understanding of hardware design principles, reliability testing methodologies, and failure analysis techniques.
• Experience working with firmware development teams and a solid understanding of firmware and hardware interactions.
• Demonstrated ability to lead root cause analysis and corrective action processes for hardware reliability issues.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Knowledge of automotive safety standards and regulations (e.g., ISO 26262, ASPICE) is a plus.
• Proficiency in data analysis tools and software (e.g., Python, JMP…) and familiarity with reliability prediction and assurance tools (e.g., Weibull++, dFMEA)

Benefits

• Annual bonus
• Equity compensation
• Comprehensive benefits package