Nvidia Software Engineering Manager Core Platform - Autonomous Vehicles 

United States, California 

654829398

What you'll be doing:

• You will be leading the team and effort towards development and deployment of our next generation Autonomous Vehicle Car Platform

• Drive automotive ECU software development and releases with NVIDIA autonomous driving partners, in a highly multi-layered environment by defining roadmaps, turning points and execution plan

• Lead the autonomous driving org through risks and resolve critical issues that affect platform stability, availability and efficiency of AV development

• Develop system tests, documentation of product functions, evaluating quality and proposing corrective actions

What we need to see:

• BS/MS or higher in Computer Engineering, Computer Science or related engineering fields (or equivalent experience)

• 8+ overall years of progressive industry experience

• 4+ years of work experience as a team or technical leader

• Proven track record of taking embedded and high efficiency software architectures to production

• Profound knowledge of programming and debugging techniques, especially for parallel and distributed architectures

• Proven understanding on Linux, QNX and/or other real-time operating systems

• Familiarity with automotive ISO26262 safety standards and security standards

• Validated background in working in a highly multi-functional environment and ability to build agreement between research, product and engineering teams

• Strong analytical and problem-solving skills paired with excellent communication skills

Ways to stand out from the crowd:

• Prior experience in automotive ECU software integration

• Prior experience in Classic and Adapative AUTOSAR is a big plus

• Working knowledge with CAN, FlexRay, automotive Ethernet and various automotive sensors like Radar, Lidar, Cameras

• Experience developing software in heterogeneous architectures, including GPUs and other types of accelerators

• Be hands-on and work well within a team of software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation