Nvidia Systems Software Engineer – AV Platform Scheduling 

United States, Texas 

960985403

What you will be doing:

• Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.

• Improving efficiency by optimizing computer utilization with multiple hardware engines for enhanced software performance.

• Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling.

• Solidifying existing frameworks and software components and validate with large amounts of real and synthetic data the improvements of the computational performance and system utilization.

• Performing in-vehicle tests, collecting data and completing autonomous drive missions.

• Developing unit/integration tests, documentation for features, evaluating quality and proposing corrective actions.

• Developing highly efficient product code in python and/or in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA and ISO26262.

What we need to see:

• BS/MS or higher in computer engineering, computer science or related fields (or equivalent experience)

• 5+ years of proven experience

• Excellent C, C++ and Python programming skills

• Experience developing and debuggingmultithreaded/distributedapplications like multimedia systems, game engines, etc.

• Expertise in low-latency programming and debugging techniques, especially for parallel and distributed architectures.

• Solid grasp of Software Architecture principles.

• Strong understanding of Linux and real-time operating systems.

• Great communication and analytical skills.

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

• Experience with the git version control system and build systems like Cmake/Bazel.

Ways You Can Stand Out From The Crowd:

• Knowledge of automotive systems, notably ADAS applications.

• Research background in discrete optimization and/or real-time scheduling.

• Experience or interest in computer vision and image processing

• Background with frameworks for robotics such as ROS.

• Experience shipping products meeting ISO26262 standards while following ASPICE practices.