Systems Test Engineer, System Behavior Analysis

Jobtailor; San Diego (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Zoox is seeking a Systems Test Engineer for its System Behavior Analysis team to enhance its autonomous platform. This role involves diagnosing system faults and producing insights on quality aspects of engineering decisions.

The ideal candidate will have a degree in Computer Science or a related field and 5+ years of relevant experience, specifically in systems troubleshooting in the automotive sector. Passion for autonomous vehicle technology is essential, along with strong analytical skills and experience in quality assurance.

Qualifications

• 5+ years of experience in systems troubleshooting and diagnostics, preferably in automotive or embedded systems.
• Strong analytical and problem-solving skills.
• Experience in a Quality Assurance role for Autonomous Driving.

Responsibilities

• Utilize data analytics to diagnose a wide range of system faults.
• Collaborate with cross-functional teams to categorize and prioritize issues.
• Identify trends in system failures and propose preventative measures.
• Develop tools and workflows to improve quality and triage efficiency.
• Adapt to changing priorities in dynamic environments.

Skills

Data analytics

Systems troubleshooting

Python programming

Root cause analysis

Project management

Quality assurance

Education

Bachelor’s or Masters degree in Computer Science or STEM

Tools

SQL

Databricks

Job description

Overview

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.

Role Summary

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.

Responsibilities

• 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
• 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 data analytics, dashboards, queries, etc using SQL, Python, and/or Databricks