Nvidia Senior Software Integration Engineer SAE Level - Autonomous Vehicles 

United States, California 

578520569

What You'll Be Doing:

• Various architectural work cross team–classical planner and machine learning planner.

• Establish the framework where safety requirements are satisfied in trajectory planning.

• BuildMinimum-Risk-Planningin a high level autonomy system.

• Establish scalable architecture for various Nvidia self driving stack as a product

• Actively engaged in planning and control algorithms development and implementation. Understand the SW architecture,

• Design and requirements and ensure overall planning and control performance and capabilities are improving.

• Review, influence, and challenge the algorithm in planning and control with new ideas, and creatively influence the roadmaps across teams.

What We Need To See:

• 8+ years of relevant industry experience.

• A track record of driving a large size of self driving projects through the entire development lifecycle.

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

• Experience in agile SW development process and delivering SW as a product, preferably in safety-critical applications. Ability to design for reliability and testability.

• Strong software engineering fundamentals.

• Excellent verbal and communication skills.

• Strong analysis skills.

Ways To Stand Out From The Crowd:

• Technically leading the deliverable in a large scale of self driving feature

• Exceptional SW Engineering skill and experience

• Passionate about innovative technology and actively stays informed on leading technologies and trends, especially in the field of autonomous vehicles and autonomous systems.

• Be hands-on and work well with cross-team, with a significant level of detail orientation and a penchant for data organization and willing to firefight.