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 the vehicle performance using virtual tools and methodologies. Reliability is key to Zoox’s vision of delivering a mobility service in dense urban environments. We are looking for field reliability engineers who are passionate about investigating failures, following tricky clues, finding key insights in large datasets, and collaborating teams across the company. Working in a startup environment gives you the chance to unleash your creativity and make a big difference in the customer experience.
- As a Field Reliability Engineer, you will apply reliability engineering concepts to continuously improve reliability for vehicle systems across Zoox’s two autonomous vehicle fleets.
- Utilize reliability statistics to identify reliability trends in the field and provide a clear description of emerging risks.
- Facilitate root cause investigations, with a major focus on physics of failure and using a data-driven approach.
- Apply statistical analysis of reliability data by identifying the most appropriate life metric to create meaningful reliability analyses, ranging from simple time, miles analysis or cycles of operation to big data physics of failure-driven approaches. Utilize big data for reliability, exploiting the new possibilities that a connected vehicle and fleet service management allow.
- Create reliability forecasts to provide visibility to design, service, manufacturing, quality, and supply chain allowing early understanding of field issues and a coordinated technical and business strategy for deployment of containment and countermeasures.
- Drive root cause investigations for field failures in partnership with design engineering, service, and quality, with a major focus on physics of failure and using a data-driven approach.
- Analyze usage, stress and environmental conditions from the vehicle fleets to validate and continuously improve product requirements and test methods.
- Provide reliability design insights and process guidelines based on field findings and maintain a knowledge base of reliability lessons learned to enable continuous improvement.
- Minimum requirement is a Bachelor of Science in an engineering discipline or equivalent with two or more years of industry experience in a reliability engineering role. Level of role depends on experience and qualifications. In addition, a strong technical background and interest in reliability.
- Working knowledge of applied statistics in field of Reliability
- Domain knowledge and hands-on experience with mechanical or electrical systems
- Practical hands-on experience in the failure analysis process
- A deep understanding of reliability concepts, and proven expertise in applying advanced reliability data analysis methods to drive priorities in reliability
- Application of fault tree and block diagram analyses to assess system reliability
- Experience with statistical software for reliability such as JMP, ReliaSoft suite, or R
- Understanding of fleet reliability monitoring metrics and reliability KPIs
- Experience in Python or R, creating reliability data visualizations
- Knowledge of database structures and practical understanding and use of SQL. Experience in working with large data sets.
- Familiarity with failure analysis techniques such as optical microscopy, X-ray, CT, FTIR, SEM, EDS. Working knowledge of vehicle dynamics, electromechanical system design, and metallic and plastic part design and manufacturing processes
- ASQ Certified Reliability Engineer or similar professional certification
- There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $137,000 to $222,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
- Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR
have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.
Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.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.Follow us on LinkedInA 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.