
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 – Remote
💵 $272k - $431.3k / year
⏰ Full Time
🔴 Lead
👮♂️ Cybersecurity / Security Engineer
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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.
• Design, build, and operate the ingestion and transformation pipelines for security telemetry • Architect the storage layer for a data lake/lakehouse • Build the query and analytics layer for security metrics • Engineer encryption at rest and in transit, fine-grained RBAC/ABAC, audit logging • Ensure data quality and trust by building for stable identity and source attribution • Collaborate with security teams to define data contracts early
• 15+ years of experience designing, building, and operating production data pipelines • Bachelor's degree or equivalent • Strong software engineering background with the ability to write clean, maintainable, and well-tested code (e.g., Python, Go, Scala, SQL) • Proven ability to design canonical schemas and data models that span many disparate sources • Hands-on experience with modern data stacks, both streaming and batch processing • Understanding of access control, encryption, audit, and isolation in data systems • A track record of making large, messy datasets genuinely useful
• equity • benefits
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