Senior System Software Engineer - AV Platform

NVIDIA; United States; On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior System Software Engineer to advance the DRIVE Autonomous Vehicle platform. You will lead cross-team integration, architect platform software, and ensure production readiness across Linux and QNX environments.

Ideal candidates bring 8+ years in autonomous vehicle software, strong kernel debugging skills, and a track record of building automated tests and build systems. This role involves collaboration with multiple engineering teams and customer-facing productization.

Qualifications

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 8+ years of software development experience for autonomous vehicles.
• Strong debugging skills from application to kernel level on embedded hardware.
• Excellent communication and collaboration across cross-functional teams.
• Experience with embedded systems, architecture design and cross-domain HW/SW knowledge.

Responsibilities

• Lead software integration with a systematic approach to embedded development for NVIDIA Drive solutions.
• Architect and develop platform software, tools, and filesystem customization across multiple OSs.
• Work with system architects, HW/SW teams, and QA to align schedules and debug issues.
• Productize workflows with customer teams for platform integration.
• Collaborate to enable automated workflows for development, validation, and releases.
• Develop build/packaging infrastructure and automated tests for autonomous vehicles.

Skills

Embedded systems

Kernel debugging

Cross-functional collaboration

Linux

QNX RTOS

Bazel build system

Python programming

CI/CD (Jenkins, Docker)

Education

BS or MS in CS/CE/EE

Tools

Bazel

Jenkins

Docker

Linux development

Job description

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market. This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars. You will collaborate with talented and dedicated multi-functional engineering teams across various vehicle sub-systems to integrate their work into our autonomous driving DRIVE SW platform, ensuring compliance with all relevant NVIDIA and automotive standards and guidelines. The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

What you'll be doing:

• Lead software integration with a systematic approach to streamline embedded development for NVIDIA Drive Autonomous vehicle solution products.
• Architect and develop platform software, tools, filesystem customization, with efficient software integration in multiple OS environments with AI powered workflows.
• Proactively work with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to drive cross-team dependency and schedule alignment, coordinate progress, and debug issues to meet production release timelines.
• Regularly engage with customer teams to productize workflows for platform integration.
• Collaborate with other engineering teams to enable automated workflows for development, sanity testing, car validation, and software release deliveries.
• Work closely with other software engineers to identify and implement build and packaging infrastructure requirements, and develop automated tests to accelerate development for Autonomous Vehicles.
• Operate in an environment involving Hypervisor, Linux, and QNX RTOS.

What we need to see:

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• 8+ years of experience working on software development autonomous vehicles.
• Proficient debugging skills from application to kernel level on embedded hardware.
• Strong communication skills and the ability to collaborate with multiple cross-functional teams.
• Proven expertise in embedded systems, architecture design and SW/HW cross-domain knowledge.
• Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
• Self-motivated, organized, and proactive.

Ways to stand out from the crowd:

• Leveraged AI for building small to complex embedded projects to improve platform developer efficiency.
• Experience with Linux and QNX filesystems, and QNX RTOS is a major plus.
• Background in automotive ECU software integration or Prior experience in the automotive field.
• Familiarity with the Bazel build system.
• Good to have exposure in python programming, cloud services, Jenkins, and Docker in continuous integration and deployment systems.

#AutonomousVehicles

The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until September 20, 2026.

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.