Field Quality Engineer (Robotics)

TL;DR

Field Quality Engineer (Robotics): Enhancing product quality and reliability for autonomous driving hardware with an accent on electro-mechanical systems and reliability methodologies. Focus on analyzing fleet data to identify systemic risks and developing scalable processes to mitigate field failures.

Location: Hybrid in Mountain View, California

Salary: $177,000—$218,000 USD

Company

hirify.global is an autonomous driving technology company building the hirify.global Driver to improve global mobility and road safety.

What you will do

• Champion field quality initiatives and collaborate with Engineering, Manufacturing, and Operations to enhance product reliability.
• Analyze fleet data to proactively identify emerging quality trends and systemic risks.
• Lead cross-functional root cause analysis and containment for complex field issues to prevent recurrence.
• Develop scalable field quality processes, tools, and automation for triaging failures.
• Define quality coverage requirements and implement validation methods for corrective actions.
• Establish a structured feedback system to improve designs, diagnostics, and operational playbooks.

Requirements

• Bachelor’s degree in an Engineering discipline.
• 5+ years of experience in electro-mechanical product development.
• 5+ years of experience in a quality or reliability engineering role.
• 5+ years of experience in data analysis and dashboarding using Python, SQL, JMP, or Tableau.
• Practical application of core quality methodologies (e.g., 8D DMAIC, FMEA, MSA, SPC, DOE).
• Must be based in or able to work in the USA (Mountain View, CA)

Nice to have

• Master’s degree or higher in an Engineering discipline.
• Experience in the automotive, robotics, or similar complex systems industry.
• Advanced skills in statistical modeling and large-scale data analysis tools.
• Deep understanding of embedded systems and hardware/software interactions.
• Familiarity with Weibull analysis and Nevada charting.

Culture & Benefits

• Hybrid work schedule.
• Discretionary annual bonus program.
• Equity incentive plan.
• Generous company benefits program.
• Collaborative environment within a world-leading autonomous driving team.