Senior System Software Engineer - AV Platform

About the role

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.

Responsibilities

• 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.
• Operate in an environment involving Hypervisor, Linux, and QNX RTOS.

Requirements

• 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.
• Able and flexible to work and communicate effectively in a multinational, multi-time-zone corporate environment.
• Self-motivated, organized, and proactive.

Qualifications

• 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.

Skills

• Proficiency in C/C++, Python, and other relevant programming languages.
• Experience with embedded systems and operating systems like Linux, QNX, and Hypervisor.
• Knowledge of automotive industry standards and regulations.
• Experience with CI/CD pipelines and automation tools.

Benefits

NVIDIA offers a competitive compensation package including a base salary ranging from $184,000 to $287,500, depending on location, experience, and the pay of employees in similar positions. Additionally, you will be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

This posting is for an existing vacancy. Applications for this job will be accepted at least until June 20, 2026.

Contact

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.