Staff Hardware System Validation Engineer
Aurora Innovation, Inc. - Mountain View, California
Posted Mar 22, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Staff Hardware System Validation Engineer Mountain View, California Who we are Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a Staff Hardware System Validation Engineer . The team is responsible for the end-to-end validation of Autonomous Hardware that includes PCBA, modules and Integrated systems from early-stage design and bring-up to sustaining engineering and resolving field issues. In this role, you will - Define, develop and execute Test methodologies for verification and validation of autonomous hardware systems and components. - Collaborate with and influence key cross-functional partners, including Hardware Systems, Safety, Test organizations, Firmware and Electrical Engineering. - Perform requirements analysis, architecture studies and system characterization to derive clear performance metrics. - Drive cross-functional reviews and achieve consensus on key design validation decisions. - Drive sustaining engineering efforts, including root cause and corrective action (RCCA) for issues found in the field. -
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