This role pays more than
83%
of similar roles. Most pay
$152,955–$223,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
997 open roles
on FindRole.
Listed pay typically runs
$168,000–$270,250
across 984 roles with salary data.
The Autonomous Vehicles Platform team at NVIDIA is hiring a Senior System Software Engineer to lead software integration for their autonomous vehicle solution products. This role involves architecting platform software and tools, customizing filesystems, and integrating AI-powered workflows across multiple operating systems including Hypervisor, Linux, and QNX RTOS. The engineer will collaborate with system architects, QA teams, and application engineers to ensure compliance with automotive standards while driving cross-team coordination for timely production releases. Key responsibilities include engaging with customer teams to productize workflows and developing automated tests to accelerate development cycles. Ideal candidates have a BS or MS in Computer Science or related fields, 8+ years of experience in autonomous vehicle software development, and expertise in embedded systems, architecture design, and SW/HW cross-domain knowledge. Proficiency in Linux and QNX filesystems is highly desirable.
C++
Python
Linux
QNX
ROS
Git
CUDA
Embedded Systems
Real-Time Operating Systems
System Architecture
CPU/GPU/Memory/Storage
Autonomous Vehicles
Robotics
Computer Vision
Threading
Mutex
Synchronization
Parallel Computing
C
C++
ISO 26262
Automotive Ethernet
TSN
SOME/IP
embedded/real-time OS
containerization
distributed middleware
orchestration
runtime
SoC/MCU diagnostics
drivers
platform health
fault management
sensor data pipelines
service-oriented vehicle communications
on-vehicle logging
data offload
systems engineering
embedded systems