Role at a glance
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 7+ years of hands on programming experience, particularly with C/C++.
- Education
- B.S. or equivalent experience in Computer Science or a related field.
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Role Summary
The senior engineer discovers and evaluates vulnerabilities in automotive operating-system source code and binaries, focusing on low-level technologies. The role also develops security automation and tools, working with security researchers and engineers and taking tools from prototype to production for use across the software organization.
What You'll Do
- Discover and evaluate vulnerabilities in source code and binaries involving OS kernels, hypervisors, boot ROMs, firmware, and hardware.
- Develop security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, automated code-inspection tools, and...
- Own tool development from prototype through production for use across the software organization.
- Work closely with security researchers and engineers.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: 7+ years of hands-on programming experience, particularly with C/C++; a B.S. or equivalent experience in Computer Science or a related field; low-level systems security and embedded software engineering experience; knowledge of OS architectures and security frameworks, especially Linux; understanding of x86 and ARM; experience building automated security tooling and agentic AI systems; and a strong foundation in computer science and security principles.
Required
- 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 internals, kernels, hypervisors, firmware, or hardware, and an analytical...
- Experience with embedded software engineering and a deep understanding of foundational computer science concepts and security principles.
- Experience building automated security tooling, including fuzzers, sanitizers, and static/dynamic analysis at the source and binary level.
- Knowledge of current operating system architectures and security frameworks, particularly Linux.
- Proven understanding of x86 and ARM architecture.
- Hands-on experience developing and building agentic AI systems, including multi-agent orchestration and tool-use pipelines, and applying...
Preferred
- Python and memory-safe language (e.g., Rust, Ada/SPARK) proficiency is a plus.
- 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...
- RISC-V knowledge is a strong plus.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
You will also be eligible for equity and benefits.
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.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.