Senior Security Software Engineer - AV Platform

at Nvidia

USD 152,000-287,500 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 GDPR @ 4 GPU @ 4 Linux @ 4 Performance Optimization @ 7 Python @ 6 Robotics @ 4 Security @ 4 System Architecture @ 7

Details

The Autonomous Vehicles Platform team is looking for a hands-on Cybersecurity Software Engineer to 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 security features that interact with cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN, and other vehicle systems. The role involves implementing security concepts and developing 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 autonomous vehicle driving software stack.
Develop and improve security work products for the AV stack.
Work on security-related software ranging from sensor abstraction layers and data processing to 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.
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 such as threat modeling, risk analysis, and attack trees, using methodologies including STRIDE and HEAVENS.
Experience managing resulting Product Security Requirements.
Experience with automotive cybersecurity standards and regulations, such as ISO 21434, SAE J3061, and UNECE Regulation 155, or other relevant automotive and cybersecurity standards and 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 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 autonomous vehicles, robotics, self-driving cars, CPU/GPU technology, embedded systems, or computer vision.

Preferred Qualifications

Deep understanding of system architecture, CPU/GPU/memory/storage systems, 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 for Level 3: USD 152,000–241,500 per year.
Base salary for Level 4: USD 184,000–287,500 per year.
Eligible for equity and benefits.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.