Jobs / United States / Nvidia Corporation

Nvidia Corporation

Cyber Security Engineer

4 Locations Posted today

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Skills this job asks for

CybersecurityAWSAzureGoogle CloudKubernetesLinuxPythonDockerCI/CD

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Nvidia Corporation paid sponsored hires in similar roles1 certified filing for “Dev Ops Engineer” (Information Security Analysts) in TX: $168k–$168k, median $168k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Nvidia Corporation paid sponsored hires in similar roles
1 certified filing for “Dev Ops Engineer” (Information Security Analysts) in TX: $168k–$168k, median $168k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

NVIDIA is seeking a Cybersecurity Analyst with deep expertise in incident response, forensics investigation, threat hunting, and proactive cyber defense. This role is ideal for a cybersecurity professional passionate about defending enterprise and product environments against advanced threats, and eager to tackle complex investigations across diverse platforms. As part of our Cyber Defense & Response team, you will lead efforts to detect, analyze, and respond to sophisticated attacks targeting NVIDIA’s corporate, cloud, and product ecosystems. You will leverage your technical skills to drive investigations, orchestrate automated responses, and strengthen our security posture across infrastructure and products.   This is an opportunity to make a significant impact in the industry, collaborating with elite experts in security, data science, and AI to shape the future of product security technologies. If this sounds like a fun challenge and you are a hands-on Security Analyst, we want to hear from you!   What you'll be doing:  • Lead Incident Response efforts for corporate, cloud, and product environments, including investigation, containment, eradication, and recovery.   • Perform threat hunting across endpoints, networks, and cloud workloads to proactively identify indicators of compromise, emerging threats, and control gaps.   • Conduct cloud incident response for AWS, Azure, and GCP, and other cloud environments including Kubernetes and containerized workloads, performing log analysis, identity compromise investigations, and workload forensics.   • Drive product security incident response, collaborating with engineering teams to analyze potential exposure to vulnerabilities, exploits, and security flaws in NVIDIA products.   • Perform digital forensics and malware analysis to support investigations and root cause analysis.   • Develop and optimize security orchestration and automation playbooks in partnership with Security Engineering to accelerate detection and response.   • Build and refine detections and defense strategies based on threat models and attacker behaviors across cloud, identity, endpoint, and product telemetry, using frameworks such as MITRE ATT&CK to map adversary tactics and enhance detection coverage.   • Provide guidance to engineering and business teams on secure design and incident handling standards and contribute to security policies, standards, and metrics to continuously improve NVIDIA’s security posture.   What we need to see:  • Bachelor’s degree in Computer Science or related field, or equivalent experience.   • 8+ years of hands-on experience in incident response and threat hunting, including cloud environments.   • Strong knowledge of cloud security principles, identity and access management, and workload protection.   • Experience with product security investigations, vulnerability analysis, and secure coding practices.   • Proficiency in forensic analysis, intrusion detection, and threat intelligence.   • Advanced knowledge of network analysis, OS internals (Windows/Linux/macOS), and web application security, including the ability to detect abnormal behaviors and assess exploit paths.   • Ability to work independently and collaborate effectively across global teams.   Ways to stand out from the crowd:    • Certifications such as GCIH, GCFA, AWS/Azure Security Specialty, CISSP.   • Experience with cloud-native security tools (e.g., AWS GuardDuty, Azure Sentinel, GCP Security Command Center).   • Development experience in Python, Go, or similar for building security automation.   • Hands-on experience with container security (Docker, Kubernetes), CI/CD pipeline , and AI security.   • Advanced knowledge of digital forensics and malware reverse engineering.   NVIDIA is widely

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