
10,000+ employees
Founded 1993
🏥 Healthcare
🏠Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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, Colorado, +3 more states – Remote
đź’µ $224k - $431.3k / year
⏰ Full Time
đźź Senior
👮‍♂️ Cybersecurity / Security Engineer
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10,000+ employees
Founded 1993
🏥 Healthcare
🏠Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
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.
• Craft and build autonomous and semi-autonomous LLM red team agents for reconnaissance, hypothesis-driven exploitation, and evidence capture against NVIDIA-owned targets • Extend agent harnesses with multi-phase orchestration, parallel specialist subagents, judge/verifier stages, and out-of-band callback infrastructure • Encode offensive security tradecraft into prompts, tools, and playbooks across web application, cloud, Kubernetes, and related attack paths • Build exploit-confirmation harnesses to validate findings and reduce false positives • Engineer safety controls including sandboxing, scope enforcement, tool allowlists/blocklists, credential isolation, and prompt-injection defenses • Evaluate and benchmark frontier models for offensive tasks • Partner with the human red team to convert engagements into repeatable agent capabilities • Mentor engineers and set the technical bar for agentic offensive tooling
• Bachelor's degree or equivalent experience • 12+ years in security engineering, with at least 4 years in offensive security: penetration testing, red teaming, exploit development, or vulnerability research • Deep, hands-on exploitation skill in at least one domain: web application, cloud/Kubernetes, or systems/binary • Strong software engineering ability in Python; production code experience • Practical experience building with LLMs: agent frameworks, tool use/function calling, multi-agent orchestration, or coding agents (Claude Code, Codex CLI, or similar) • Sound judgment about autonomous offensive tooling, including scoping, authorization, and blast-radius thinking • Respectful, responsible approach to offensive testing • Published security research, CVEs, conference talks, or notable CTF results • Certifications such as OSWE, OSEP, OSCP, or GXPN • Experience with SAST/DAST internals, fuzzing, or program analysis • Experience red-teaming AI systems or contributing to AI-security research • Familiarity with Kubernetes/OpenShift, GitOps, and operating worker fleets at scale
• Competitive salaries • Generous benefits package • Equity
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