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 interact with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in implementing security concepts and 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).
- 5+ year of professional experience working on system software.
- Excellent programming skills in C++, C and Python.
- Experience in architectural security analysis techniques such as threat modeling, risk analysis, attack trees, etc. (using STRIDE, HEAVENS) and managing resultant Product Security Requirements.
- Experience with automotive cybersecurity standards/regulations (e.g., ISO 21434, SAE J3061, UNECE Regulation 155) or other standards/regulations relevant to the automotive industry and/or cybersecurity (e.g., GDPR).
- 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.
- Prior experience working in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, CPU/GPU technology, Embedded Systems, Computer Vision.
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.
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
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
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, 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 architectural security analysis, including threat modeling, risk analysis, attack trees, STRIDE, or HEAVENS
- Experience managing Product Security Requirements
- Experience with automotive cybersecurity standards or regulations, such as ISO 21434, SAE J3061, or UNECE Regulation 155
- 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 low-level hardware
- Knowledge of embedded system programming, threading, mutexes, synchronization, communication, and parallel computing
- Prior experience in autonomous vehicles, robotics, self-driving cars, CPU/GPU technology, embedded systems, or computer vision
- Deep understanding of system architecture, CPU/GPU, memory, storage, 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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
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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.”
