NVIDIA

NVIDIA

Posted via Workday

Senior Offensive Security Engineer, Automotive

Posted Aug 13, 2026

Role at a glance

Salary
$184K – $356.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
7+ years of hands on programming experience
Education
B.S. or equivalent experience in Computer Science or a related field.

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Role Summary

AI-generated

NVIDIA's Automotive Offensive Security team works on securing automotive operating systems by discovering vulnerabilities in low-level technologies and developing reusable security capabilities. The role focuses on turning security research into production tooling used across the software organization.

What You'll Do

  • Discover and evaluate vulnerabilities in source code and binaries.
  • Analyze OS kernels, hypervisors, boot ROMs, firmware, and hardware.
  • Develop security pipelines and fuzzing infrastructure to scale vulnerability discovery.
  • Build AI-assisted vulnerability discovery and automated code inspection and code conversion tools.
  • Own security tool development from prototype through production in collaboration with security researchers and engineers.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

7+ years of programming experience, particularly with C/C++; a B.S. or equivalent experience in Computer Science or a related field; low-level systems security experience involving OS internals, kernels, hypervisors, firmware, or hardware; embedded software engineering experience; experience building automated security tooling including fuzzers, sanitizers, and source- and binary-level static/dynamic analysis; knowledge of operating system architectures and security frameworks with a focus on Linux; understanding of x86 and ARM architecture; and hands-on experience developing agentic AI systems for security or engineering workflows.

Required

  • C/C++ programming experience
  • B.S. or equivalent experience in Computer Science or a related field
  • Low-level systems security experience involving OS internals, kernels, hypervisors, firmware, or hardware
  • Embedded software engineering experience
  • Experience building automated security tooling, including fuzzers, sanitizers, and source- and binary-level static/dynamic analysis
  • Knowledge of operating system architectures and security frameworks, with a focus on Linux
  • Understanding of x86 and ARM architecture
  • Hands-on experience developing agentic AI systems, including multi-agent orchestration and tool-use pipelines

Preferred

  • Python proficiency
  • Memory-safe language proficiency, such as Rust or Ada/SPARK
  • Involvement in CTF competitions
  • Bug bounty contributions
  • Published security research
  • Personal software projects
  • Experience with formal methods or memory-safe languages, including Ada/SPARK, Rust, TLA+, or Lean
  • RISC-V knowledge

Original job description

Content provided by the employer
View on company site

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 the pay of employees in similar positions. The base salary range is 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 August 16, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.

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