The Autonomous Vehicles Platform team is looking for a Senior System Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing high-performance 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 that interacts with various sensors, including cameras, LiDAR, radar, GPS, IMU, and CAN. We are seeking candidates with interests in inventing, developing, and maintaining application frameworks and tools for multi-computer and heterogeneous architectures. The role involves collaborating with teams across the stack: hardware, embedded software, and cloud infrastructure.
What you'll be doing:
Drive AI-based automotive systems from design through production, within power and performance constraints.
Work with hardware teams to help shape future platforms for industry-leading power efficiency.
Triage and debug stability, performance, and power issues in sophisticated systems and applications.
Design systems to comply with ISO 26262 functional safety and security requirements.
What we need to see:
BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
12+ years of professional experience working on system software.
Excellent programming skills in C++ and C.
Solid understanding of QNX, Linux, 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 of embedded systems programming, threading, synchronization mechanisms, communication frameworks, and parallel computing to build highly scalable and efficient applications.
Familiarity with CPU/GPU architectures, memory subsystems, and performance optimization.
Prior experience working in any of the following areas: autonomous vehicles, robotics, GPU, and embedded systems.
Outstanding communication and collaboration skills.
Ways to stand out from the crowd:
Deep understanding of system architecture: CPU, GPU, memory, Ethernet, and storage.
Experience developing autonomous vehicles or robotic systems.
Hands-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
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience
- 12+ years of professional experience working on system software
- Excellent programming skills in C++ and C
- Solid understanding of QNX, Linux, or real-time operating systems
- Experience developing user-space system software, with willingness to work in kernel space or with low-level hardware
- Knowledge of embedded systems programming, threading, synchronization mechanisms, communication frameworks, and parallel computing
- Familiarity with CPU/GPU architectures, memory subsystems, and performance optimization
- Prior experience in autonomous vehicles, robotics, GPU, or embedded systems
- Outstanding communication and collaboration skills
- Deep understanding of CPU, GPU, memory, Ethernet, and storage system architecture
- Experience developing autonomous vehicles 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.
-
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.
-
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.
-
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.”
