3 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Integrate security features into the autonomous-vehicle driving software stack.
- Develop and improve security work products for the autonomous-vehicle platform.
- Implement security-related software across sensor abstraction layers, data processing, and middleware.
- Work on security governance and guide other teams in implementing security mechanisms.
- Collaborate with hardware, platform software, product, safety, performance, algorithms, and cloud teams.
Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 5+ years of professional experience working on system software.
- Excellent programming skills in C++, C, and Python.
- Experience with threat modeling, risk analysis, attack trees, STRIDE, HEAVENS, and managing resulting product security requirements.
- Experience with automotive cybersecurity standards or regulations such as ISO 21434, SAE J3061, and UNECE Regulation 155, or other relevant cybersecurity regulations such as GDPR.
- Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.
- Experience developing user-space system software, with willingness to work in kernel space or with low-level hardware.
- Knowledge of embedded-system programming, threading, mutexes, synchronization, communication, and parallel computing.
- Experience in autonomous vehicles, robotics, self-driving cars, CPU/GPU technology, embedded systems, or computer vision.
- Preferred qualifications include deep understanding of system architecture and CPU/GPU/memory/storage performance optimization, autonomous-vehicle or robotic-system development, and hands-on embedded, operating-system, and real-time-software development.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay.
- Applications will be accepted at least until October 16, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.