Systems Test Engineer, System Behavior Analysis

Lever, Inc.; San Diego, Northern (CA, KY); Hybrid; USD 148,000 - 208,000; Full time

Benefits offered by this job

Health insurance

Zoox Stock Appreciation Rights

Amazon RSUs

Job summary

Zoox is seeking a Systems Test Engineer to analyze and triage issues across perception, planner, and AI software for its autonomous platform. You will produce reports and insights to inform leadership on quality and engineering decisions, driving safe and robust vehicle operation.

The role emphasizes hands-on work, root cause analysis, and developing tools to improve triage and testing efficiency across multiple teams.

Qualifications

• Bachelor's or master's degree in CS or STEM field.
• Minimum 5 years in systems troubleshooting and diagnostics, preferably automotive/embedded.
• Experience using Python for automation, programming, and scripting.
• Strong analytical and problem-solving skills with a methodical root-cause analysis approach.
• A passion for autonomous vehicle technology and safety.

Responsibilities

• Utilize data analytics to diagnose system faults from perception, planner, and AI software using on-road testing and simulations.
• Prioritize issues based on severity, urgency, and safety impact with cross-functional teams.
• Identify trends in system failures and propose preventive measures with clear root-cause analyses.
• Be hands-on, lead by example, and develop tools/workflows to improve triage quality and quantity.
• Demonstrate adaptability by managing multiple tasks and changing priorities in dynamic environments.

Skills

Analytical thinking

Problem solving

Autonomy in testing

Education

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

Tools

Python

SQL

Databricks

Job description

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

$148,000 - $208,000 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.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] 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.