Senior Offensive Security Engineer, Automotive
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $184,000 to $356,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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.
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.Source: NVIDIA on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($184,000) is above 59% of the 619 IT & Security roles in California listed on this site; 16 others list the same floor. Their median floor is $170,900; the middle half runs from $140,000 to $213,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingSenior Offensive Security Engineer, Automotive$184,000 to $356,500
Senior Software Engineer, Subnet Management$184,000 to $356,500
Senior Software Engineer, AI Networking$184,000 to $356,500
Senior Software Engineer, Machine Learning Safety$184,000 to $356,500
Senior Firmware Security Architect, Networking$184,000 to $356,500
Senior Compiler Engineer - AI$184,000 to $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 to $356,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Offensive Security Engineer, Automotive (this listing) | $184,000 - $356,500 |
| Senior Software Engineer, Subnet Management | $184,000 - $356,500 |
| Senior Software Engineer, AI Networking | $184,000 - $356,500 |
| Senior Software Engineer, Machine Learning Safety | $184,000 - $356,500 |
| Senior Firmware Security Architect, Networking | $184,000 - $356,500 |
| Senior Compiler Engineer - AI | $184,000 - $287,500 |
| Senior System Software Engineer, Performance - CUDA Driver | $184,000 - $356,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
