Network Test Automation Engineer

Zoox

2600

Foster City, CA, United States

Posted on: 2025-04-30

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

The Advanced Hardware Engineering team is looking for a network test automation engineer to join the Sensor Emulation and Test Infrastructure team. The ideal candidate will possess a strong background in networking concepts, automation tools, and scripting languages to automate test cases written against Ethernet requirements. This role collaborates across teams - working with Systems, Integration, Software, and Sensor engineers to deliver scalable network validation solutions that ensure the reliability and performance of our autonomous vehicle sensor networks.

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $150,000 to $251,000. A sign-on bonus may be offered as part of the compensation package. 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.

In This Role, You Will:

Develop and maintain Python-based automation frameworks for system integration, performance validation, and test execution

Engineer specialized Python tools for network packet capture (PCAP) analysis, enabling deep inspection and automated evaluation of network traffic

Architect and implement comprehensive test verification strategies across sensor network interfaces

Create detailed technical documentation covering automation frameworks, test methodologies, and system configurations to enable knowledge transfer and scale testing capabilities

Implement automation solutions that align with security protocols and industry compliance standards while maintaining testing efficiency

Collaborate with cross-functional engineering teams to expand test coverage, enhance validation infrastructure, and drive testing excellence

Qualifications

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, with 4+ years of relevant industry experience

Comprehensive understanding of networking protocols and architecture, including deep knowledge of OSI model layers, TCP/IP, UDP, ICMP, ARP, and SNMP protocols

Hands-on experience with network hardware configuration and automation across routers, switches, and firewalls

Advanced Python programming and Bash scripting skills with demonstrated experience developing automated testing frameworks

Proficiency with network analysis and diagnostic tools, including Wireshark, iPerf, traceroute, and tcpdump

Strong written and verbal communication skills

Bonus Qualifications

Experience with Time Synchronization Protocols (1588v2, 802.1as) and Automotive Ethernet

Strong background in DevOps methodologies, including implementation of CI/CD pipelines and automated testing workflows

Expertise with Python testing frameworks (pytest, unittest) and test automation best practices

Proficiency with version control systems, build automation tools, and software development lifecycle management

Track record of successful hardware-software integration testing, including test plan development and execution

Advanced Linux networking expertise, including network stack configuration, performance optimization, and troubleshooting

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