The role
At Zoox, we’re redefining mobility by building an autonomous ride-sharing experience that’s safe, efficient, and unlike anything on the road today.
We’re not just building a car, we’re redefining human mobility. By developing an autonomous ride-sharing experience that is safe, efficient, and entirely reimagined, we are creating unique vehicles that will shape the future of transportation for generations to come. As a Staff Vehicle Attributes Engineer, you’ll work alongside world-class experts in robotics, controls, and vehicle engineering to bring this vision to life.
You will sit at the heart of our Vehicle Integration team, leading attribute team, serving as a technical linchpin between vision and execution. You won't just be managing requirements, you will be driving cross-functional decisions and resolving critical issues alongside department and engineering leadership to ensure our platform is world-class.
In this high-impact role, you will:
Be the Outward Voice: Act as the primary representative for Vehicle Integration during high-stakes program reviews and in collaborations with inter-departmental customers.
Lead with Authority: Work alongside world-class experts in robotics, controls, and vehicle engineering to champion every element of the Zoox experience.
Define Excellence: Ensure every vehicle meets the highest possible standards for performance, comfort, and safety, bridging the gap between complex technical constraints and an uncompromising passenger experience.
In this role, you will:
- Lead cross-functional vehicle attribute teams (e.g., vehicle dynamics, NVH, thermal, energy, safety, ergonomics) to deliver key program milestones for Zoox’s next-generation autonomous vehicle platforms.
- Define the vehicle performance of Zoox’s next-generation autonomous vehicles to meet program requirements.
- Partner closely with Attribute Leads to define development plans, align priorities, and ensure seamless execution across engineering disciplines.
- Champion strategic decision-making by balancing performance, cost, mass, safety, and timing to achieve optimal balance and integration of vehicle attributes
- Deliver performance targets, identify gaps, and drive data-based root cause analyses and resolution plans
- Prepare and present attribute status updates for program reviews and leadership gates, ensuring risks and trade-offs are clearly communicated
- Drive initiatives such as defining and developing test assets and methodologies to validate vehicle-level requirements
Qualifications
- Bachelor’s or Masters degree in Engineering
- At least 10+ years of experience in vehicle attribute development or integration
- Deep technical understanding of vehicle systems, validation, and cross-functional integration
- Proven ability to manage multiple priorities, drive decisions, and deliver results in a fast-paced environment
- Experience leading and guiding a vehicle development program
- Skilled in data analysis, documentation, and reporting; proficiency with Smartsheet, Jira, and Google Workspace
Bonus Qualifications
- Experience in Technical Program Management
- Experience in electric or autonomous vehicle development preferred
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.
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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.