NVIDIA
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.
Distinguished Engineer, AI Safety and Security Engineering
Job not on LinkedIn
🔥 16 minutes ago
🏄 California, Florida, +3 more states – Remote
💵 $320k - $488.8k / year
⏰ Full Time
🟠 Senior
🔴 Lead
👮♂️ Cybersecurity / Security Engineer
🦅 H1B Visa Sponsor
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NVIDIA
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.
📋 Description
• Define the canonical harness architecture and component baseline • Set the engineering standards the team builds on • Guide the Find, Validate, and Patch technical roadmap • Mentor founding engineers and support their growth
🎯 Requirements
• Bachelor's degree (or equivalent experience) • 18+ years designing and building complex systems • Deep experience architecting distributed systems, ML pipelines, or large-scale platforms • A record of turning research into production-grade engineering • Ability to align engineers and researchers on one technical direction
🏖️ Benefits
• Competitive salaries • Generous benefits package • Equity
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