Job Description

Join us as a Thermal Attribute Engineer specializing in Heat Protection and be at the forefront of innovation in autonomous vehicle technology! In this pivotal role, you'll develop cutting-edge thermal solutions for Zoox robots, leading simulations, testing, and data analysis. Your expertise will shape vehicle-level requirements and drive the development, testing, and validation of groundbreaking solutions. You'll regularly update leadership on your progress and see how your work impacts the future of transportation. If you're passionate about solving complex challenges and eager to redefine the passenger experience, we want to hear from you—come be a part of something extraordinary!

In this role, you will:

• Set vehicle heat-protection targets, communicate the vision, develop development plans, and lead cross-functional teams.
• Cascade requirements to subsystems, establish best practices, and integrate thermal considerations early.
• Lead heat-protection workstreams, support testing and validation, analyze risk data, and ensure milestone progress.
• Track fleet thermal performance, investigate incidents, report metrics, and drive continuous enhancements.
• Present updates on heat protection status, track issues, and report status to the wider vehicle attribute team
• Track open issues and ensure progress to closure using Zoox systems (Jira, Confluence)

Qualifications

• BS in Mechanical Engineering, Aerospace Engineering, or related field
• 8+ years of experience in thermal engineering or heat transfer applications, and a strong understanding of passive thermal management techniques
• Experience with thermal design and development, and vehicle-level testing and validation
• Experience in component integration and attributes management, preferably within the automotive sector
• Proficiency in thermal analysis tools and data analysis (Ansys Icepak)

Bonus Qualifications

• MS or PhD in relevant engineering discipline
• Previous experience working in advanced or early concept phases
• Familiarity with fleet data analysis and monitoring systems
• Background in design for manufacturing and reliability

$164,000 - $225,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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.

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 [email protected] 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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