
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.
🕒 July 27
🏄 California, Colorado, +3 more states – Remote
💵 $272k - $431.3k / year
⏰ Full Time
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
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👻 Ghost score 23%
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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.
• Hire, coach, and grow the founding engineering team • Lead the Find, Validate, and Patch engineering roadmap • Collaborate with evaluation, security, and platform leadership • Share clear, honest engineering status across NVIDIA • Build and lead the AI Safety & Security Engineering team from its first engineers • Own delivery of the Find, Validate, and Patch roadmap and make trade-offs visible • Develop AI-powered tooling that helps find, validate, and patch software vulnerabilities
• Bachelor's degree (or equivalent experience) • 12+ years in software engineering • 5+ years of experience managing engineering teams • Experience guiding teams that build complex systems, including distributed infrastructure, ML platforms, or security tooling • Ability to weigh architecture and evaluation trade-offs in ML or systems software • Steadiness in a young program where much is still yours to define • Exposure to vulnerability research or security programs • Experience with teams building ML infrastructure or agents • Experience growing new teams from their earliest stage
• Competitive salaries • Generous benefits package • Equity
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