Drimva

General Motors

Senior Cybersecurity Engineer – Vulnerability Exposure Management

Warren, Michigan, United States of America · Hybrid · Senior · Full-time · Posted Oct 29, 2026

Education
Bachelor’s degree in Cybersecurity, Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
Visa sponsorship
GM does not provide immigration-related sponsorship for this role, now or in the future; the posting includes work authorization requiring company immigration support among the examples.

About the job

Leads vulnerability exposure management for GM’s manufacturing and OT environments, prioritizing and coordinating plant-aware remediation while developing AI-supported risk and workflow capabilities.

What you'll do

  • Manage the OT vulnerability lifecycle, correlate security and asset data, and set risk priorities that account for plant operations and safety.
  • Coordinate mitigation and remediation with manufacturing cybersecurity, plant IT, and automation stakeholders; respond to high-impact vulnerabilities.
  • Develop exposure-reduction metrics and dashboards, and build AI capabilities for asset-context enrichment, risk prioritization, and workflow automation.

What they ask for

  • Bachelor’s degree in a related field or equivalent practical experience.
  • Experience in cybersecurity, vulnerability management, security operations, manufacturing IT/OT, ICS, infrastructure security, or related domains.
  • Working knowledge of industrial control and plant-floor systems, plus industrial networking and protocols.
  • Experience prioritizing vulnerabilities under operational constraints and applying risk-based methods such as CVSS, EPSS, and CISA KEV.

Nice to have

  • Knowledge of ISA/IEC 62443, NIST SP 800-82, NIST CSF 2.0, or CISA CPGs.
  • Experience handling high-profile CVEs or 0-days, assessing exploitability, and building vulnerability metrics and dashboards.

Tools

PLCs, CVSS, EPSS, CISA Known Exploited Vulnerabilities (KEV), Armis, Claroty, Tenable, Qualys

AI focus

Build AI capabilities for ingestion and asset-context enrichment, attack-path and risk prioritization, and remediation workflow automation.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)