Distinguished Engineer, AI Safety and Security

🕒 July 27

🏄 California, Florida, +3 more states – Remote

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💵 $320k - $488.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 26%

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Logo of NVIDIA

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

• Serve as the founding technical leader for NVIDIA's AI Safety & Security Engineering team • Take full ownership of the core harness architecture and baseline engineering standards • Guide the program from early-stage prototypes into a dependable, reviewable production pipeline • 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 • Review designs across the organization and maintain code quality and safety standards • Bridge exploratory research ideas and rigorous software engineering • Collaborate with engineering managers, security partners, and evaluation teams

🎯 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 • Record of turning research into production-grade engineering • Ability to align engineers and researchers on one technical direction • Vulnerability research or security engineering experience • Familiarity with agent frameworks or LLM-based tooling • Experience building evaluation or benchmarking infrastructure

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits

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