Manager, Prediction Integration

Key Skills

AI Robotic systems, Algorithms, Analytical and Problem solving, CUDA/GPU programming, Machine learning techniques

Job Description

The Active Prediction Integration team focuses on the integration of prediction and planning to achieve safe and high-performance autonomous driving. The team is responsible for one of the core algorithmic components of the AI stack that combines basic logic/physics models with advanced uncertainty-aware ML prediction models to reason about how the world evolves in response to candidate robot motions.

We are looking for a manager with a strong background in uncertainty-aware motion prediction and planning, and experience with both machine-learned as well as first-principles (e.g. physics-based) motion and logical reasoning models. The candidate will be responsible for working with the team to set the technical direction, evolve the current architecture and break new ground in further unification of planning, prediction, and perception.

The team collaborates closely with multiple groups across Planner and Zoox including ML behavioral modeling, search/optimization, cost design, prediction and perception. As a leader of the Active Prediction Integration team, the candidate will interact and coordinate efforts across multiple such teams and play a critical role in the evolution of the AI stack at Zoox. If you are passionate about working on fundamental robotic decision-making architectures and their deployment on a novel robot platform, we would like to hear from you.

Responsibilities

• Lead the design and development of integrated prediction and planning architectures
• Set the short and long-term technical direction for the team and collaborate on broader, company-wide directions
• Collaborate with the team members in technical design considerations, implementation, and on-vehicle testing
• Coordinate cross-functional initiatives with other teams across Planning, Prediction, and Perception
• Grow the team by partnering with recruiting and guide the continued professional development of team members

Qualifications

• Extensive experience with AI and/or Robotics
• Experience with current ML architectures and methodologies
• Excellent communication and problem-solving skills
• Experience with managing highly-technical teams of 5+ engineers
• Relevant experience in the area of autonomous driving with a track record of delivering results in a production environment
• MS or PhD in Computer Science (or a related field)

Bonus Qualifications

• Experience with GPU/CUDA C++ architectures and algorithms

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $220,000 to $370,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. 

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Vaccine Mandate

Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.