Be an Early Applicant
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime.
As a Systems Test Engineer on our System Behavior Analysis Autonomous team, you will play a critical role in the development of Zoox's autonomous platform, working with a broad set of engineering teams across Zoox. You will help triage and root cause the issues identified during testing and real-world operations. You will also produce reports and insights that inform leadership on the overall quality and influence of engineering decisions. Your ability to distill complex systems and root cause issues will be crucial to producing a safe and stable vehicle platform.
In this role, you will:
- Utilize data analytics to analyze and diagnose a wide range of system faults and errors related to perception, planner, and other AI software from both on-road testing and system simulations.
- Effectively categorize and prioritize issues based on severity, urgency, and potential impact on safety and performance by working collaboratively with cross-functional teams (engineering, software, testing).
- Identify trends in system failures and propose preventative measures to improve overall system safety and robustness by producing clear and concise reports of system issues, troubleshooting steps, and root cause analysis.
- Be hands-on, lead by example, and develop tools and workflows to drive improvements for both quality and quantity aspects of the triage.
- Demonstrate operational agility by quickly adapting to changing priorities, managing multiple tasks simultaneously, and implementing effective solutions in dynamic environments.
Qualifications
- Bachelor's or Masters degree in Computer Science or STEM-related field
- Minimum of 5 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or embedded systems industry
- Experience using Python or a similar language for automation, programming, and scripting
- Strong analytical and problem-solving skills with a methodical approach to root cause analysis
- A passion for autonomous vehicle technology and safety is essential
Bonus Qualifications
- Experience in a Quality Assurance or Triage role for Autonomous Driving
- Project Management experience on programs involving cross-functional partners and offshore teams
- Experience with Log Management, Analytics, or Simulation tools
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 [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.
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The Company
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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