Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Docker @ 3
Go @ 3
Kubernetes @ 3
Linux @ 6
Python @ 3
GCP @ 3
CI/CD @ 3
AWS @ 3
Azure @ 3
macOS @ 6
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Cybersecurity Analyst with deep expertise in incident response, forensics investigation, threat hunting, and proactive cyber defense. This role focuses on defending corporate, cloud, and product environments against advanced threats and performing complex investigations across diverse platforms.
Responsibilities
- 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; perform 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; use 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; contribute to security policies, standards, and metrics to continuously improve NVIDIA's security posture.
Requirements
- 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 pipelines, and AI security.
- Advanced knowledge of digital forensics and malware reverse engineering.
Compensation & Benefits
- Base salary range: 160,000 USD - 258,750 USD (determined based on location, experience, and pay of employees in similar positions).
- Eligible for equity and company benefits (see NVIDIA benefits).
Additional information
- Applications accepted at least until June 9, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.