Senior Security Software Engineer - AV Platform

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Algorithms Communication @ 4 Computer Vision @ 4 GPU @ 3 Linux @ 4 Performance Optimization @ 7 Python @ 6 Robotics @ 4 Security System Architecture @ 7

Details

The Autonomous Vehicles Platform team is looking for a hands-on Cybersecurity Software Engineer. You will work on Autonomous Driving Platform software, implementing performant and scalable solutions for data collection and autonomous vehicle fleets. The team develops platform and middleware features for self-driving cars, including software security features interacting with cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN, and other sensors. The role involves implementing security concepts and developing state-of-the-art security features for the AV Platform while collaborating across platform and embedded software, cloud infrastructure, safety, and performance teams.

Responsibilities

Integrate security features into the AV driving software stack.
Develop and improve security work products for the AV stack.
Work on security-related software ranging from sensor abstraction layers to data processing and middleware software.
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.

Requirements

Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
8+ years of professional experience working on system software.
Excellent programming skills in C++, C, and Python.
Familiarity with source control tools.
Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.
Experience developing user-space system software, with a 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 highly scalable and efficient applications.
Familiarity with CPU/GPU and memory hardware architecture and performance.
Prior experience in autonomous vehicles, robotics, self-driving cars, GPU technology, embedded systems, or computer vision.
Outstanding communication and teamwork skills.

Preferred Qualifications

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

Compensation And Benefits

Base salary range of $184,000–$287,500 USD for Level 4.
Base salary range of $224,000–$356,500 USD for Level 5.
Eligibility for equity and benefits.
Salary is determined based on location, experience, and the pay of employees in similar positions.
Full-time position.
Applications accepted at least until July 21, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.