Nvidia Senior Integration Engineer - Autonomous Vehicle 

United States, California 

763593844

What you'll be doing:

• Defining functional software architecture NVIDIA's L2/L3/L4 autonomous driving solutions.

• Integrating modular software components (e.g. perception, planning, etc.) together to implement customer-required self-driving functions.

• Optimizing product implementation to achieve target performance goals.

• Diagnosing system software & functional driving issues reported on our target driving platforms, including on-road & simulation.

• Developing efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.

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

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

• Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).

• Follow quality and safety standards such as defined by MISRA.

What we need to see:

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

• 5+ years of relevant industry experience.

• Excellent C and C++ programming skills.

• Experience developing and debuggingmultithreaded/distributedapplications like multimedia systems, game engines, etc.Profound knowledge of programming and debugging techniques.

• Experience on developing software in heterogeneous architectures, including GPUs.

• Knowledge of image processing APIs (e.g. OpenCV) and MATLAB tools, automotive systems, notably ADAS applications.

• Software development for CUDA, Linux, and QNX.

• Experience with version control systems GIT and build system like CMake/Bazel.

• Be 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.

• Solid understanding on Linux, Android, and/or other real-time operating systems.

Ways to stand out from the crowd:

• Understanding of parallel, embedded and distributed architectures.

• Thrive on writing low latency, highly performant code.

• Great communication and analytical skills.

• Self-motivated and a great teammate.