The "Automotive Vehicles Platform team" is searching for a Senior System software Engineer to develop and bring NVIDIA's autonomous vehicle platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have deadlines, customers, and competition.What you'll be doing:Contribute to platform software development, tools, filesystem customization and software integration in different OS environments for autonomous vehicles.Develop creative continuous software integration methods to streamline embedded development internal to Nvidia and across Nvidia Drive Autonomous vehicle solution partners.Define vehicle level checkpoints to confirm the autonomous vehicle platform is ready and utilize different frameworks to confirm vehicle platform functions/status and reduce the vehicle setup time before vehicle heading out for road testing and data collection.Drive platform level stability by providing stability data back platform SW team and work with each SW component owners to solve the issues found during fleet operations. Present data-driven fleet stability status to higher management and wider team, and drive improvements from the fleet operation side. Work proactively with other engineering teams such as system architects, software/firmware engineers, HW/SW QA teams and application engineering teams to drive cross team dependency and schedule alignment, coordinate bring up progress and debug to meet production release timelines.Work closely with other software engineers within the organization to identify and implement, build & packaging infrastructure requirements, automated tests to accelerate development for Autonomous Vehicles Contribute to best-practices for building, testing, and releasing software and work in an environment which involves Hypervisor, Linux, QNX RTOS.What we need to see:BS, MS in CS/CE/EE with 5+ years in a related field (or equivalent experience)Strong software development skills in python.Proven experience in embedded systems, SW/HW cross domain knowledge.Experience in software architecture designStrong debugging skills from application to kernel levelExposure to cloud services, jenkins, and Docker working with continuous integration & continuous deployment systems.Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environmentSelf-motivated, organized and proactiveEmbedded system, SW/HW cross domain knowledgeWays to stand out from the crowd:Strong communication skills and ability to collaborate with multiple cross functional teamsExperience in Automotive fieldPrior experience in Bazel build systemExperience with linux & QNX filesystem , QNX RTOS is a major plus.Prior experience in automotive ECU software integration
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