Senior Software Engineer - Autonomous Vehicles

NVIDIA•Santa Clara, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for an experienced SW Engineer to join Autonomous vehicle SW development for integrating both machine learning and classical trajectory planner within a safety-oriented framework in high autonomy level (SAE Level 3 or 4 focused). Do you have solid SW integration and SW architecture fundamentals, and a broader understanding in the behavior planning, trajectory planning, Safety concept and machine learning overall? If so, this may be the role for you.

Requirements

12+ 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.

Nice To Haves

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.

Responsibilities

Various architectural work cross team–classical planner and machine learning planner.
Establish the framework where safety requirements are satisfied in trajectory planning.
Safety related work experience in autonomous systems
Build Minimum-Risk-Planning in 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.