Senior System 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 GPU @ 3 Linux @ 4 Performance Optimization @ 7 Python @ 6 Robotics @ 4 System Architecture @ 7

Details

The Autonomous Vehicles Platform team is seeking a hands-on Senior System Software Engineer to develop performant and scalable solutions for data collection and autonomous vehicle fleets. The role focuses on Autonomous Driving Platform software, including platform and middleware features for self-driving cars that interact with cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN, and other sensors. You will work across platform and embedded software, cloud infrastructure, safety, and performance on multi-computer and heterogeneous architectures.

Responsibilities

Integrate sensors into the autonomous vehicle driving software stack.
Develop and improve the startup user experience of the autonomous vehicle stack.
Develop data recording and mining software.
Work on sensor abstraction layers, data processing, performance optimization, data serialization, and service frameworks.
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.
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 considerations.
Prior experience in autonomous vehicles, robotics, self-driving cars, GPU technology, or embedded systems.
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: $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4, determined by location, experience, and compensation for similar positions.
Eligible for equity and benefits.
Applications accepted at least until July 21, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.