Principal Software Engineer L3, Planning and Controls - Autonomous Vehicles

Nvidia • Santa Clara, CA

71d • $272,000 - $425,500

About The Position

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. 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

• 15+ 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

• Drive various architectural work cross team-classical planner and machine learning planner.
• Establish the framework where safety requirements are satisfied in trajectory planning.
• Establish scalable architecture for various NVIDIA self driving stack as a product.
• Actively engage 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.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree