Staff Hardware Reliability Engineer - Drive by Wire

Job description

Job responsibilities

• Lead and oversee hardware reliability testing and validation for automotive drive by wire systems used in autonomous vehicles comprising ECUs, actuators, motors etc.
• Collaborate with cross-functional teams, including external partners, as well as internal HW-systems, electrical, 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.
• Create detailed reports on reliability testing, findings, and corrective actions and present them to stakeholders to drive decisions around hardware improvements and risk.
• Drive continuous improvement in hardware design and development processes to meet automotive reliability standards.
• Mentor and provide technical guidance to reliability engineers, helping drive adoption of reliability best practices across teams.

Job requirements

• Bachelor’s or Master’s degree in Robotics (preferred), Electrical Engineering, Mechanical Engineering, or a related field.
• Proven experience (5+ years) in hardware reliability engineering, preferably in the automotive, aerospace, or heavy-duty vehicle industry.
• Strong understanding of hardware design principles, reliability testing methodologies (e.g., HALT/HASS, vibration, thermal cycling, humidity), and failure analysis techniques.
• Experience working with joint development partners, systems and software development teams and HW/SW interactions.
• Demonstrated ability to lead root cause analysis and corrective action processes (e.g., 8D, 5-Why, Fishbone) for hardware reliability issues.
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
• Proficiency in data analysis tools and software (e.g., Python, JMP…) and familiarity with reliability prediction and assurance tools and methods (e.g., Weibull++, dFMEA)
• Experience with hardware requirement concepts