The Autonomous Vehicles Platform team at NVIDIA seeks a Senior System Software Engineer to lead the development and productization of innovative solutions for autonomous vehicles. This role involves architecting and developing platform software, tools, and filesystems across various OS environments while ensuring compliance with industry standards. You will collaborate with multi-functional engineering teams to integrate work into the DRIVE SW platform, drive cross-team alignment, and enhance integration efficiency for low latency development on Tegra-based platforms. Key responsibilities include enabling CI for automated testing, coordinating progress, debugging issues, and engaging with customer teams to productize workflows. The ideal candidate has extensive experience in software development for autonomous vehicles, proficiency in Python, and strong skills in embedded systems and SW/HW cross-domain knowledge. Familiarity with Linux, QNX RTOS, Jenkins, Docker, and the Bazel build system is beneficial.
Lead software integration efforts to streamline embedded development for autonomous vehicles.
Architect and develop platform software, tools, and filesystem customization across various OS environments.
Enable CI for automated testing and validation of car platforms and software releases.
Coordinate with cross-functional teams to debug issues and meet production release timelines.
Enhance integration efficiency for low latency development on Tegra-based AV simulation and car platforms.
Regularly engage with customer teams to productize workflows for platform integration.
Develop automated tests and build infrastructure to accelerate autonomous vehicle development.
What we're looking for
12+ years of experience in autonomous vehicle software development.
Proficient in Python and debugging from application to kernel level on embedded hardware.
Strong software architecture design and cross-domain SW/HW knowledge.
Experience with cloud services, Jenkins, Docker, and continuous integration/deployment systems.
Familiarity with Linux and QNX filesystems, and QNX RTOS.
Ability to collaborate effectively in a multinational, multi-time-zone environment.
Background in automotive ECU software integration.
Market check
Salary context
This
$224,000–$356,500
range sits above
100%
of similar postings on FindRole.
Peer median band
$134,000–$234,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,487–$217,725
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.