Master's or PhD in Computer Science, Engineering, Mathematics, or Statistics
5+ years of experience implementing deep learning or computer vision technologies
Proficiency in C++ or Python programming
Ability to thrive in a fast-paced work environment
Strong technical leadership skills
Passionate about applying AI to real-world challenges
Responsibilities
Develop groundbreaking AI techniques for large-scale robotics challenges
Lead and manage a team of deep learning and software engineers to achieve goals
Establish and drive the long-term technical vision in a rapidly evolving field
Cultivate collaborative relationships across the company to enhance autonomous systems
Benefits
Health care plan covering medical, dental, and vision
Retirement options including Traditional and Roth 401k
Comprehensive life insurance options
Generous paid time off including vacation and holidays
Family leave for maternity and paternity
Short-term and long-term disability coverage
Complimentary food and snacks
Full Job Description
Responsibility
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.
Requirements
Master's or PhD Degree in Computer Science, Engineering, Mathematics, Statistics, or related fields
5+ years of experience in deploying state-of-the-art computer vision or deep learning technologies to real-world applications.
Proficiency in programming languages such as C++ or Python.
Execution mindset and skills in a fast paced environment.
Excellent technical leadership abilities.
Passionate about AI technologies for real-world applications.
Preferred Experience
Strong track record in designing org structures and growing people.
Extensive experience in the autonomous driving industry.
Strong understanding of real-time systems and optimization techniques.
Hands-on experience having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systems
Compensation and Benefits
Base Salary Range: $245,000 - $350,000 Annually
Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.
Also, we provide the following benefits to the eligible employees:
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (Traditional and Roth 401k)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Free Food & Snacks
About Pony.ai
Pony.ai is a Chinese-American company that develops autonomous driving technology. The company was founded in 2016 and is headquartered in Fremont, California. Pony.ai has partnerships with automakers such as Toyota and Hyundai and has raised over $1 billion in funding. The company has expanded its services to include autonomous delivery and ride-hailing. Pony.ai has been recognized as one of the most innovative companies in the world by Fast Company.