Senior Reliability Engineer (Robotics)

Location: Mountain View, United States

Salary: $175,000–$250,000 per year plus equity

Company

Builds generalist intelligent robots through an integrated robotics stack spanning hardware, robot systems, infrastructure, foundation world models, and manufacturing scale-up.

What you will do

• Decompose platform and subsystem requirements into mission profiles covering duty cycles, load spectra, and environmental exposure.
• Translate mission profiles into accelerated test plans with acceleration factors, sample sizes, and pass/fail criteria.
• Plan and support HALT/HASS, thermal cycling, vibration, and fatigue campaigns with test and design engineers.
• Build and maintain FMEA/FMECA analyses and drive design changes that eliminate failure modes before hardware release.
• Apply Weibull analysis, MTBF/MTTF modeling, censored-data survival analysis, and physics-of-failure acceleration models to test and field data.
• Build reliability data infrastructure and reporting to track trends and update mission-profile assumptions as the platform scales.

Requirements

• Bachelor’s or master’s degree in mechanical engineering, electrical engineering, reliability engineering, or a related field.
• 5+ years of experience in reliability engineering, including ownership of mission-profile development and accelerated test design.
• Working knowledge of Arrhenius, Coffin–Manson, inverse-power-law, or similar acceleration models.
• Hands-on experience with FMEA/FMECA, Weibull analysis, and MTBF/MTTF modeling.
• Experience with motors, actuators, power electronics, or comparable electromechanical systems in active product development.
• Ability to communicate reliability risks and recommendations to cross-functional engineering and program stakeholders.

Nice to have

• Reliability engineering experience in automotive, EV, robotics, semiconductor, or consumer electronics.
• Experience establishing a reliability program or reliability requirements from scratch for an early-stage or prototype product.
• Familiarity with low-voltage electronics, sensors, power-electronics reliability, mechanical fatigue, and structural durability.
• Experience analyzing field-reliability or warranty data.
• Experience scripting or building reliability-analysis and reporting tools with Python or similar technologies.

Culture & Benefits

• Work across the full robotics stack, from hardware and robot systems to AI infrastructure and manufacturing.
• Operate as a T-shaped engineer with broad electromechanical responsibility and deep reliability expertise.
• Join an organization investing in foundation-model research, infrastructure, hardware development, and manufacturing scale-up.
• Compensation includes equity.