Senior Offensive Security Researcher, GPU System Software

🔥 0 minutes ago

🏄 California, North Carolina, +2 more states – Remote

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💵 $224k - $431.3k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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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

• Own the end-to-end security story for specific subcomponents, from threat model through hardening and verification • Design, prototype, and drive production adoption of mitigation and hardening technologies, including hardware CFI, Pointer Masking, and Memory Tagging • Build and evangelize tools, practices, and processes that improve product robustness across the company • Perform offensive security research across GPU and platform firmware, microcode, kernel drivers, and embedded software • Identify vulnerabilities, build proof-of-concept exploits, and partner with development teams to remediate them • Perform threat analysis and security reviews of software and hardware designs

🎯 Requirements

• BS in Electrical or Computer Engineering, Computer Science, or equivalent experience • 12+ years of relevant software engineering or security research experience • Demonstrated experience in an offensive security role • Excellent C and assembly skills and hands-on low-level driver or firmware experience • Vulnerability research experience: fuzzing, static and dynamic analysis, exploit development, and coverage-guided techniques • Experience with secure development lifecycle practices such as threat modeling, code audit, and incident response • Experience applying AI and LLM-based tooling to vulnerability discovery, triage, or analysis • Ability to work collaboratively and remotely on complex, cross-team goals • Firmware or embedded reverse engineering, especially on RISC-V or other non-x86 architectures • Experience designing hardware or compiler-assisted mitigations from the ground up, including compiler modifications (LLVM, GCC) • Familiarity with computer architecture fundamentals: caches, buses, memory controllers, DMA, MMUs, and IOMMUs • Experience with formally verifiable languages or methods (SPARK, Ada, Rust, model checking) • Published research, such as talks at BH or DEF CON, or articles in publications like Phrack

🏖️ Benefits

• Equity • Benefits

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