Senior Security Software Engineer - AV Platform

NVIDIA•Us, CA

About The Position

The Autonomous Vehicles Platform team is seeking a hands-on Cybersecurity Software Engineer to develop performant, scalable solutions for data collection and autonomous vehicle fleets. The team develops platform and middleware features for self-driving cars, including software security features that interact with sensors such as cameras, LIDAR, RADAR, GPS, IMU, and vehicle CAN. The role focuses on implementing security concepts and features for the autonomous vehicle platform, working across platform and embedded software through cloud infrastructure while considering safety and performance. The engineer will integrate security into the autonomous driving software stack; develop and improve security work products; contribute security-related code across sensor abstraction, data processing, and middleware; and guide security governance and mechanism implementation across teams. The role collaborates 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.
At least 5 years of professional experience working on system software.
Excellent programming skills in C++, C, and Python.
Experience with architectural security analysis techniques, including threat modeling, risk analysis, and attack trees, using methods such as STRIDE or HEAVENS, and managing resulting Product Security Requirements.
Experience with automotive cybersecurity standards or regulations such as ISO 21434, SAE J3061, or UNECE Regulation 155, or other standards or regulations relevant to automotive cybersecurity, such as GDPR.
Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.
Experience developing user-space system software and willingness to work in kernel space and/or with low-level hardware when needed.
Knowledge of embedded system programming, threading, mutexes, synchronization, communication, and parallel computing for building scalable and efficient applications.
Prior experience in one or more of the following areas: autonomous vehicles, robotics, self-driving cars, CPU/GPU technology, embedded systems, or computer vision.

Nice To Haves

Deep understanding of system architecture, CPU/GPU, memory, and storage, including performance optimization.
Experience building autonomous vehicle or robotic systems.
Hands-on experience in embedded development, operating systems, and real-time software.

Responsibilities

Integrate security features into the autonomous vehicle driving software stack.
Develop and improve security work products for the autonomous vehicle stack.
Develop security-related software spanning sensor abstraction layers, data processing, and middleware.
Work on security governance topics and guide other teams in implementing security mechanisms.
Collaborate with hardware, platform software, product, safety, performance, algorithms, and cloud teams.