> Markdown version of [/jobs/ext/3695624-offensive-security-engineer-automotive](https://www.wearedevelopers.com/jobs/ext/3695624-offensive-security-engineer-automotive). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Offensive Security Engineer, Automotive - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, ARM Architecture, C++ (Programming Language), Computer Programming, Linux, Dynamic Program Analysis, Embedded Software, Firmware, Python (Programming Language), Reduced Instruction Set Computing, Security Software, Software Organization, Multi-Agent Systems, Apache Spark, Information Technology, Code Inspection, Formal Methods - **Published:** October 12, 2026 - **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2022838 ## About the Role 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.