The Autonomous Vehicles Platform team is looking for a hands-on Cybersecurity Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant and scalable solutions for data collection and autonomous vehicle fleets. Our team is responsible for developing platform and middleware features for self-driving cars. This includes software security features that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in implementing security concepts, developing state-of-the-art security features for AV Platform. The role encompasses working with various teams across the stack, from platform and embedded software to cloud infrastructure, underpinned by safety and performance. It extends an opportunity to contribute to the technology that will drive the cars of the future!
What you'll be doing:
Integrating security features into our AV driving software stack.
Develop and improve security work-products for our AV stack.
Working on security-related software code ranging from sensor abstraction layers to data processing to middleware software.
Work on security governance topics and guide other teams with security mechanism implementation.
Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams.
What we need to see:
BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
8+ year 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 in developing user-space system software, with a willingness to delve into kernel-space and/or low-level hardware when needed.
Knowledge about embedded system programming, threading, mutex, synchronization, communication, and parallel computing to build highly-scalable and efficient applications.
Familiarity with hardware architecture for CPU/GPU and memory alongside performance.
Prior experience working in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Embedded Systems, Computer Vision.
Outstanding communication skills and teamwork.
Ways to stand out from the crowd:
Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization.
Experience in Autonomous Vehicle or Robotic system building.
Hand-on experience in embedded development, operating systems and real-time software.
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.Skills Required
- BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 8+ years 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 and willingness to work in kernel-space/low-level hardware
- Knowledge of embedded system programming, threading, mutexes, synchronization, communication, and parallel computing
- Familiarity with hardware architecture for CPU/GPU and memory and performance considerations
- Prior experience in Autonomous Vehicles, Robotics, Self-Driving Cars, GPU technology, Embedded Systems, or Computer Vision
- Outstanding communication skills and teamwork
- Deep understanding of system architecture and performance optimization
- Experience building Autonomous Vehicle or Robotic systems
- Hands-on experience in embedded development, operating systems and real-time software
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
