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.