10 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Discover and evaluate vulnerabilities in source code and binaries across kernels, hypervisors, boot ROMs, firmware, and hardware.
- Develop reusable security capabilities, including security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, automated code inspection, and code conversion tools.
- Build and own security tooling from prototype through production for use across the software organization.
- Collaborate with security researchers and engineers to scale offensive security insights and workflows.
Requirements
- At least 7 years of hands-on programming experience, particularly with C/C++.
- Bachelor’s degree in Computer Science or a related field, or equivalent experience.
- Strong low-level systems security experience covering areas such as OS internals, kernels, hypervisors, firmware, or hardware.
- Experience with embedded software engineering and foundational computer science and security principles.
- Experience building automated security tooling, including fuzzers, sanitizers, and source- and binary-level static and dynamic analysis.
- Knowledge of operating system architectures and security frameworks, especially Linux.
- Understanding of x86 and ARM architectures.
- Hands-on experience developing agentic AI systems involving multi-agent orchestration and tool-use pipelines for security or engineering workflows.
- Python and memory-safe language experience such as Rust or Ada/SPARK is a plus.
- Experience with formal methods or memory-safe languages such as Ada/SPARK, Rust, TLA+, or Lean is preferred.
- CTF participation, bug bounty contributions, published security research, personal software projects, or RISC-V knowledge are preferred.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until November 3, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.