Senior Offensive Security Engineer, Automotive

at Nvidia
USD 184,000-356,500 per year
SENIOR
✅ On-site

Tech Stack

AI @ 4 Agentic AI @ 4 Linux @ 4 Python @ 6 Rust @ 6 Security @ 7 Spark @ 6

Details

NVIDIA's Automotive Offensive Security team focuses on finding vulnerabilities in sophisticated automotive operating systems and building tooling to identify them at scale. The role involves breaking low-level systems and automating the resulting insights into reusable security capabilities.

Responsibilities

  • Discover and evaluate vulnerabilities in source code and binaries.
  • Analyze low-level technologies, including operating system kernels, hypervisors, boot ROMs, firmware, and hardware.
  • Develop automation to scale security research, including security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, automated code inspection tools, and code conversion tooling.
  • Work closely with security researchers and engineers.
  • Own tool development from prototype through production for use across the software organization.

Requirements

  • 7+ years of hands-on programming experience, particularly with C and C++.
  • Proficiency in Python and memory-safe languages such as Rust or Ada/SPARK is a plus.
  • Bachelor's degree or equivalent experience in Computer Science or a related field.
  • Strong low-level systems security background, including operating system internals, kernels, hypervisors, firmware, or hardware.
  • Ability to analyze complex software functionality and identify security flaws.
  • Experience with embedded software engineering.
  • Deep understanding of foundational computer science concepts and security principles.
  • Experience building automated security tooling, including fuzzers, sanitizers, and static or dynamic analysis tools at the source and binary levels.
  • Knowledge of current operating system architectures and security frameworks, particularly Linux.
  • Proven understanding of x86 and ARM architectures.
  • Hands-on experience developing and building agentic AI systems, including multi-agent orchestration and tool-use pipelines, and applying them to automate security or engineering workflows.

Preferred Qualifications

  • Participation in CTF competitions, bug bounty contributions, published security research, or personal software projects.
  • Extensive experience with formal methods or memory-safe languages such as Ada/SPARK, Rust, TLA+, or Lean.
  • Knowledge of RISC-V.

Compensation And Benefits

The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. Compensation is determined based on location, experience, and the pay of employees in similar positions. The position is also eligible for equity and benefits. Applications will be accepted at least until August 16, 2026.

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