
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🏄 California, Nevada, +2 more states – Remote
💵 $160k - $258.8k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🔐 Security Analyst
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• 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.
• 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. • 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.
• equity • benefits
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