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NVIDIA

Designs the chips and software that power AI

GPU SW Security PSIRT Lead

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A BS or MS degree in Computer Engineering, Computer Science, or a related degree.
  • 12+ years of vulnerability management or PSIRT experience in complex organizations.
  • Ability to clearly articulate security issues and practical consequences to diverse levels of engineering and management.
  • Strong C programming skills with hands-on experience in embedded systems or device drivers.
  • Proven track record debugging crashes, reproducing vulnerabilities, and identifying root causes.
  • Familiarity with system architecture fundamentals, including caches, buses, memory controllers, and direct memory access (DMA).

Responsibilities

  • Own GPU software PSIRT as the central point of contact for engineering teams; communicate risks, advocate for PSIRT priorities, and report metrics to security leadership.
  • Assess report validity and severity, including working with hardware security; draft Common Vulnerability Scoring System (CVSS), Common Vulnerabilities and Exposures (CVE), and Common Weakness Enumeration (CWE) details; prioritize cases by technical severity, media attention, and business impact; challenge unsupported claims.
  • Reproduce vulnerabilities, determine root causes, recommend fixes, and lead urgent zero-day responses.
  • Identify remediation owners from sparse crash logs, track bugs, communicate, and ensure service-level agreements (SLAs).
  • Develop risk dashboards and automate triage, routing, and scoring with large language models; train engineers on PSIRT processes and vulnerability response.

Desired Qualifications

  • Experience as a PSIRT lead in a large organization with complex communication requirements.
  • Offensive security and debugging experience in kernel, drivers, or firmware.
  • Demonstrated ability to deploy agentic workflows.
  • Experience with the inner workings of toolchains such as GCC and GDB.
  • Experience with embedded-system software concepts, such as real-time operating systems (RTOS) and overlay programming models.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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