Nvidia Senior Software Engineer Planning Controls - Autonomous Vehicles 

United States, California 

517786976

What you'll be doing:

Maturing and productizing new features entails a diversity of activities, including:

• Architecting new designs to enable new functions or to improve performance.

• Leading engineering efforts to develop, tune, and verify algorithms and software using both ML based approach and classical approach in vehicle, VRU, and other object prediction

• Debugging and addressing different issues identified in simulations and in test drives.

• Collaborating with our globally distributed team to enhance the software architecture, improving development processes and tooling

• Defining and verifying product requirements through detailed analysis, simulation, in-car testing, and benchmarking existing products.

• Maturing prototype software to production quality.

What we need to see:

• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience.

• 12+ years of practical experience.

• Experience writing software in C++.

• Experience with prediction model training/deployment experience.

• Comfort with an Agile/Scrum software development environment using Gerrit (or similar).

• Comfort developing software with GIT in a Linux environment.

Ways to stand out from the crowd:

We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:

• Experience shipping automotive software products, especially Autonomous Driving or ADAS.

• Exposure to regulatory standards such as ISO 26262 and safety decompositions (ASIL) or an industry equivalent. Prior experience in building safety critical software architectures.

• Experience building deep learning based prediction system with different model training/inference is a must.

• An expertise in fundamental physics - kinematic and dynamic models of rigid bodies is a must.

• Background with traditional planning algorithms (A*, D*, RRTs, probabilistic roadmaps, etc.) is a plus.