Senior Offensive Security Engineer, Automotive

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
53 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $236k
$125k most similar roles pay here $305k

This role pays more than 88% of similar roles. Most pay $151,475–$217,500 — the shaded band above. At the midpoint, this role pays about $236k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Senior Offensive Security Engineer, Automotive

As a Senior Offensive Security Engineer, Automotive, you will join the Automotive Offensive Security team to secure sophisticated automotive operating systems by identifying vulnerabilities and building scalable security tools. You will discover and evaluate flaws in source code and binaries across low-level technologies including OS kernels, hypervisors, boot ROMs, firmware, and hardware. Your daily work involves developing automation for security pipelines, fuzzing infrastructure, AI-assisted discovery, and automated code inspection. The role requires proficiency in C/C++, Python, and memory-safe languages like Rust or Ada/SPARK. You must possess a deep understanding of x86 and ARM architectures, Linux systems, and embedded software engineering. You will leverage your expertise in static and dynamic analysis to build tools that automate security workflows while addressing the complex challenges inherent in securing automotive hardware and low-level system components.

What you'll do

  • Identify and evaluate vulnerabilities in source code and binaries for low-level systems like kernels, firmware, and boot ROMs.
  • Develop automation to scale security findings across the organization's software infrastructure.
  • Build and maintain fuzzing infrastructure and automated code inspection tools.
  • Create AI-assisted vulnerability discovery pipelines and agentic AI systems for security workflows.
  • Own the full development lifecycle of security tools from initial prototype to production.
  • Analyze and dissect complex low-level hardware and software architectures to find security flaws.
  • Implement security capabilities through static and dynamic analysis at both source and binary levels.

What we're looking for

  • 7+ years of hands-on programming experience, particularly with C/C++.
  • B.S. or equivalent experience in Computer Science or a related field.
  • Strong low-level systems security background including OS kernels, hypervisors, firmware, and hardware.
  • Experience with embedded software engineering and foundational computer science concepts.
  • Experience building automated security tooling such as fuzzers, sanitizers, and static/dynamic analysis tools.
  • Proven understanding of x86 and ARM architectures and Linux operating system architectures.
  • Hands-on experience developing agentic AI systems for automating security or engineering workflows.
  • Proficiency in Python and memory-safe languages like Rust or Ada/SPARK (preferred); RISC-V knowledge (preferred).

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