Systems Test Engineer

In This Role, You Will:

• Utilize data analytics to analyze and diagnose a wide range of system faults and errors related to hardware, software, and sensor data from both on-road testing and system simulation runs.

• Effectively categorize and prioritize issues based on severity, priority, and potential impact on safety and performance by working collaboratively with cross-functional teams (engineering, software, testing) and offshore teams.

• 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.

• Work to define and report on the operational characteristics of SBA execution including cost and capacity forecasting.

• Be hands-on, lead by example, and develop tools and workflows to drive improvements for both quality and quantity aspects of the triage operations.

• Demonstrate operational agility by quickly adapting to changing priorities, managing multiple tasks simultaneously, and implementing effective solutions in dynamic environments.

Qualifications And Requirements

• Bachelor's degree in Computer Science or STEM-related field

• Minimum of 3 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or embedded systems industry

• Experience with Git, Agile methodologies, and scripting/programming languages (preferably Python)

• 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 Change Management, Analytics, or Simulation tools

Additional information

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 LinkedIn

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.

• Bachelor's degree in Computer Science or STEM-related field

• Minimum of 3 years of experience in systems troubleshooting and diagnostics, preferably in the automotive or embedded systems industry

• Experience with Git, Agile methodologies, and scripting/programming languages (preferably Python)

• Strong analytical and problem-solving skills with a methodical approach to root cause analysis

• A passion for autonomous vehicle technology and safety is essential

• 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 Change Management, Analytics, or Simulation tools