logo
AI Resume Tailoring Sign in to use this AI AI Cover Letter Sign in to use this AI

Job Description

At Zoox, we have set the goal to provide our customers with the highest level of safety and a best-in-class experience while using our fully autonomous vehicles. You will work with a team of world-class engineers with diverse backgrounds, such as robotics, control, and vehicle engineering, to deliver vehicle performance using virtual tools and methodologies. In taking on the virtual and physical durability development, you will work in predicting where the vehicle is within its lifespan and providing maintenance scenarios and optimization strategies. 

In this role, you will:

  • Set reliability and availability targets. Define top-level hardware availability targets from market requirements and build consensus across product, feature, operations, vehicle engineering, software, and autonomy. Cascade those targets into subsystem and component-level failure budgets for sensors (LiDAR, radar, camera), AI compute, and ECUs, working directly with component owners and the Advanced Hardware and Vehicle Systems Engineering EE teams.
  • Drive the FMEA process. Drive cross-functional System DFMEA and Supportability FMEA to identify failure mechanisms, system-interaction failure modes, and preventative maintenance opportunities. Define risk classification, FMEA methodology, and mitigation plans.
  • Drive design mitigations. Partner with hardware and firmware architects on redundancy, thermal management, derating guidelines, and software-level degraded/safe modes, identifying where fault tolerance and fail-operational behavior are needed to support the autonomy safety case.
  • Prove out designs through test. Using reliability targets, DFMEA outputs, and physics-of-failure principles, partner with validation engineers on virtual and physical test plans combining multi-variable stressors (thermal, vibration, electrical loading, firmware states). Oversee early ALT to establish design margins, latent defects, and acceleration parameters for architectural trade studies. Track and report results in V&V reports.
  • Define PHM strategy for sensors, compute, and EE systems: available signals, health indicators, degradation models, and failure precursors enabling early fault detection and remaining-useful-life estimation.
  • Operationalize PHM with software, data, and systems teams across vehicle and backend pipelines, translating reliability risks into monitoring, alerting, and maintenance recommendations.
  • Close the loop with field data. Use current-fleet telemetry and PHM insights to find improvement opportunities and drive corrective action across design, validation, and operations, feeding lessons learned back into next-gen design.

Qualifications

  • Masters-level engineering or similar technical degree with 10+ years hands on experience in Reliability Engineering
  • Detailed understanding of relevant sensors, high-performance computers, and ECUs, and typical failure modes and test methods for these components
  • Deep understanding of reliability data analysis and risk assessment, and how to develop component reliability targets based on functional safety and business objectives
  • Experience in failure mode assessment, accelerated reliability testing, and advanced field reliability monitoring concepts
  • Personable with the ability to lead and coach a high-caliber engineering team toward world-class levels of reliability/dependability

Bonus Qualifications

  •  ASQ Certified Reliability Engineer, or similar professional recognition
  • An understanding of ISO 26262 Functional Safety
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Do you match this job?

Here is what this employer asked for. Sign in and we will fill in your half.

  • Role Senior/Staff Design Reliability Engineer – Sensor, Compute and EE Systems you: —
  • Experience 8-9 years you: —
  • Education Any you: —
  • Work type Hybrid you: —
  • Location United States you: —
Check my match
Zoox
Robotics & Autonomy · 500+ Members · Foster City, CA, United States

Zoox, an Amazon subsidiary, develops an autonomous ride-hailing service and a purpose-built electric robotaxi. Rather than adapting a conventional car, it designed a bidirectional vehicle around autonomous operation, passenger use, and dense urban mobility. The company develops the vehicle, autonomous-driving software, sensing, simulation, fleet systems, and rider experience as one integrated service. Zoox is progressing from testing toward commercial robotaxi operations with safety and controlled deployment at the center of its approach.

All jobs at Zoox
Job Overview

Approx. salary range

213K – 297K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 15 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
Hybrid
Job Posted:
7 months ago
Job Type
Full Time
Education
Any
Experience
8-9 years

Share This Job: