Security Research Engineer, AI Safety and Security Engineering

🕒 July 27

🏄 California, Florida, +3 more states – Remote

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💵 $224k - $431.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 15%

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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

• Develop techniques that confirm vulnerabilities are real and reachable • Advance approaches for generating and verifying safe fixes • Define correctness, regression, and revalidation standards with reviewers • Work bounded vulnerability classes against internal targets • Establish high engineering standards and document reasoning for independent security reviews • Ensure methods run reliably with fully traceable evidence • Help decide which vulnerability classes the team tackles next

🎯 Requirements

• Bachelor's degree (or equivalent experience) • 12+ years in security research or software engineering • Hands-on vulnerability research, fuzzing, program analysis, or secure development in C, C++, or Python • Rigor about what makes a fix correct and safe, including regression and behavior preservation • Comfort using AI-assisted tools for analysis and development • CVEs, advisories, or publications in vulnerability research are a way to stand out • Experience building or extending fuzzers, static analyzers, or symbolic-execution tools is a way to stand out • Familiarity with LLM-based coding or analysis agents is a way to stand out

🏖️ Benefits

• Competitive salaries • Generous benefits package • Equity • Benefits

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