Senior System Software Engineer - AV Platform

at Nvidia

USD 184,000-356,500 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.

AI Algorithms Communication @ 4 Computer Vision @ 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 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 and software interacting with cameras, LIDAR, RADAR, GPS, IMU, vehicle CAN, and other sensors.

The position involves inventing, developing, and maintaining application frameworks and tools for multi-computer and heterogeneous architectures. The engineer will collaborate across the stack, including platform and embedded software and cloud infrastructure, with a focus on safety and performance.

Responsibilities

Integrate sensors into the autonomous vehicle driving software stack.
Develop and improve the startup user experience of the autonomous vehicle stack.
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 6 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 systems 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.
Prior experience with autonomous vehicles, robotics, self-driving cars, GPU technology, embedded systems, or computer vision.
Outstanding communication and teamwork skills.

Preferred Qualifications

Deep understanding of system architecture, including CPU, GPU, memory, and storage, with a focus on 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 of USD 184,000–287,500 for Level 4.
Base salary range of USD 224,000–356,500 for Level 5.
Eligibility for equity and benefits.
Salary is determined based on location, experience, and the pay of employees in similar positions.

Applications will be accepted at least until March 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.