Staff/Senior Staff Software Engineer (Perception)

• As the Staff/Senior Staff Software Engineer - Perception, you will be responsible for developing and implementing the next-generation perception system that enables our autonomous systems to understand and navigate their environment with precision and reliability
• You will work closely with the planner team to accomplish the final end-to-end AI-based autonomous driving system
• Push forward innovative AI techniques to solve extremely challenging real-world robotics problems that are deployed at large scale
• Manage the team with world-class deep learning engineers and software engineers, ensure each team member operates with excellence and achieves their objectives
• Drive both the short-term and long-term technical vision in a domain where long-term solutions are still evolving research challenges, continually advancing the state of the art of the autonomous driving system
• Develop and maintain strong collaborative relationships with peers across the entire company, foster a unified and synergistic environment that leverages cross-functional expertise to propel our autonomous systems forward

Benefits

• Comprehensive medical, dental, and vision insurance
• Generous PTO and paid holidays
• Daily meals and bi-weekly happy hours
• Equity opportunity
• Retirement plans
• Frequent tech talks

• Proficiency in programming languages such as C++ or Python
• 5+ years of experience in deploying state-of-the-art computer vision or deep learning technologies to real-world applications
• Master’s or PhD Degree in Computer Science, Engineering, Mathematics, Statistics, or related fields
• Execution mindset and skills in a fast paced environment
• Passionate about AI technologies for real-world applications
• Excellent technical leadership abilities
• Strong track record in designing org structures and growing people
• Strong understanding of real-time systems and optimization techniques
• Extensive experience in the autonomous driving industry
• Hands-on experience having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systems