Senior Offensive Security Engineer, Automotive

NVIDIA is hiring a Senior Offensive Security Engineer, Automotive in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this cybersecurity role Little AI ●○○○: aI is not part of the work.
Pay on this posting starts 15% higher than the typical cybersecurity posting on Level.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

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 and identifying security 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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

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.

How we rate this

Senior Offensive Security Engineer, Automotive at NVIDIA rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.