Network Security Engineer Zoox - 2.8 Foster City, CA Job Details Full-time $181,000 - $218,000 a year 17 hours ago Benefits Disability insurance Health insurance RSU Paid time off Life insurance Qualifications Zero Trust security Continuous Delivery (CD) implementation

NIST SP 800-53

Wireless networking Tooling ISO standards Zero trust architecture design Infrastructure as Code (IaC) Security compliance frameworks implementation Next-Generation Firewalls (NGFWs) Security data analysis

VLAN WAF

Security system vulnerability testing Remote access management Security testing methodologies Terraform Remote access software Security Event Management (security operations) Cryptography Regulatory Frameworks (Architecture security) Vulnerability management Cloud compliance SIEM Cloud automation Network monitoring tools VPN management DevOps automation Identity and access management (IAM) solutions Security technology solutions implementations Full Job Description Zoox's Network Security team architects and defends the digital borders of the company — from corporate offices to engineering labs and product/mission environments. As a Network Security Engineer, you will design, implement, and operate security controls across Zoox's enterprise, OT networks, and cloud infrastructure spanning on-premises data centers and public cloud environments (AWS, GCP), partnering closely with Network Engineering, IT, Product Security, and Software Engineering teams. In This Role, You Will... Design, implement, and maintain secure hybrid/multi-cloud network architectures (AWS/GCP, CloudWAN); enforce zero-trust access controls and network segmentation across corporate, data center, lab, and edge environments; develop and maintain related policies, standards, and architecture diagrams Own and operate next-generation firewall platforms (Palo Alto Networks, Fortinet), managing policy architecture, segmentation, NAT, URL filtering, SSL/TLS decryption, and threat prevention tuning Architect, operate, and own the lifecycle of secure remote access solutions (VPN, ZTNA, site-to-site tunnels), ensuring high availability, certificate-based authentication, and integration with identity providers (SAML, Entra ID) Drive automation and Infrastructure-as-Code (IaC) using Terraform, Python, CI/CD, and REST APIs for configuration management, firewall policies, and security baselines; integrate LLM-based tools to streamline operational tasks and reduce manual toil Oversee security operations including 24/7 network security monitoring, traffic analysis, threat detection, vulnerability assessments, and remediation; support compliance requirements by conducting security reviews for new projects and infrastructure changes Drive 802.1X/certificate-based Network Access Control (NAC) initiatives across wired and wireless environments Collaborate with team members and contribute to cross-functional security initiatives with Product Security, SRE, IT, and Software Engineering teams Qualifications 6+ years of network security engineering experience securing enterprise, cloud, and OT/lab environments

Platform Expertise:

Deep, hands-on expertise in next-gen firewalls (Palo Alto, Fortinet), AWS NFW, WAFs, IDS/IPS, NAC/802.1X, PKI, VPN, and ZTNA solutions (Zscaler, Netskope, Prisma Access, or equivalent)

Technical Knowledge:

Strong understanding of core network protocols (TCP/IP, BGP, OSPF, VLAN, 802.1X, TLS/PKI) and cloud networking security principles (AWS, GCP, or Azure)

Automation:

Hands-on experience with IaC and automation tooling including Terraform, Python, CI/CD pipelines, and

REST APIs Security Operations:

Experience with network security monitoring, threat detection, and security operations tooling (SIEM, IDS/IPS, vulnerability management platforms), including integration with network controls

Compliance:

Proven experience supporting major compliance initiatives (NIST 800-53, CSF 2.0, ISO 27001), including control implementation and evidence collection Bonus Qualifications Experience in autonomous vehicle, robotics, IT/OT or automotive environments

Certifications:

PCNSE, AWS

Security Specialty, CCNA Experience experimenting with or deploying AI/ML-based security capabilities (e.g., anomaly detection, behavioral analytics, LLM-driven copilots) in network or cloud security workflows 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 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.