Senior Offensive Security Engineer
NVIDIA
Senior Offensive Security Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA's Automotive Offensive Security team believes the best defense is a good offense. Securing a sophisticated automotive operating system means finding vulnerabilities then building the tooling needed to find them at scale. We're looking for a senior engineer who can break low-level systems and then automate the insights gained from doing so into reusable security capabilities.
What you'll be doing:
You'll discover and evaluate vulnerabilities on both source code and binaries, focusing on low-level technologies such as OS kernels, Hypervisor, boot ROMs, firmware, and hardware. More than just bug finding, you'll develop and build automation to scale your work. This includes security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, tools for automated code inspection, and code conversion. You'll work closely with security researchers and engineers, owning tool development - from prototype to production - for use across the software organization
What we need to see:
7+ years of hands on programming experience, particularly with C/C++. Python and memory safe language (e.g. Rust, Ada/SPARK)proficiency a plus.
B.S. or equivalent experience in Computer Science or a related field.
Strong low-level systems security background: OS internals, kernels, hypervisors, firmware, or hardware; applying an analytical approach dissecting the functionality of intricate software andidentifyingsecurity flaws.
Experience with embedded software engineering. Deep understanding of foundational computer science concepts and security principles.
Experience building automated security tooling:fuzzers, sanitizers, static/dynamic analysis at the source and binary level.
Knowledge of current operating system architectures and security frameworks, with a particular focus on Linux.
Proven understanding of x86 and ARM architecture.
Hands-on experience developing and building agentic AI systems: multi-agent orchestration, tool-use pipelines, and applying them to automate security or engineering workflows.
Ways to stand out from the crowd:
Involvement in CTF competitions, bug bounty contributions, published security research, or personal software projects.
Extensive experience with formal methods or memory-safe languages (e.g.Ada/SPARK, Rust, TLA+, Lean) for hardening low-level code and architecture.
RISC-V knowledge is a strong plus.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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