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 considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Skills Required
- Bachelor's degree in Computer Science or related field, or equivalent experience
- 8+ years 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
- Ability to work independently and collaborate effectively across global teams
- Certifications such as GCIH, GCFA, AWS/Azure Security Specialty, CISSP
- Experience with cloud-native security tools (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 security, and AI security
- Advanced digital forensics and malware reverse engineering experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”








