NVIDIA is looking for an experienced SW Engineer to join their Autonomous Vehicle SW development team to integrate machine learning and classical trajectory planners within a safety-oriented framework, aiming to improve the overall planning and control performance and capabilities of their self-driving stack.
Requirements
- Strong software engineering fundamentals.
- Ability to design for reliability and testability.
- Experience in agile SW development process and delivering SW as a product, preferably in safety-critical applications.
Responsibilities
- 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 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.
Other
- 18+ years of relevant industry experience.
- A track record of driving a large size of self driving projects through the entire development lifecycle.
- Excellent verbal and communication skills.
- Strong analysis skills.
- Technically leading the deliverable in a large scale of self driving feature
