Senior/Staff Software Engineer - Dynamic Agent Interactions

Job summary

On the Dynamic Agent Interactions (DAI) team at Zoo***, you will be dedicated to improving the driving behavior of our autonomous vehicles. DAI handles dynamic interactions with dynamic vehicles and dynamic environments, ensuring our vehicles navigate safely and comfortably through complex scenarios, such as the dense traffic of Downtown San Francisco, Las Vegas, Austin, Miami, and more.

Benefits

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field and 7+ years of experience
• Fluency in C++ and Python
• Demonstrated ability to create architectural enhancement to complex real-time systems
• Experience delivering ML model integration in latency-sensitive systems
• Experience working on the autonomy stack of autonomous robots or vehicles
• Experience contributing to the ongoing development of new architecture based on new, state of the art ML research
• Base Salary Range
• There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoo*** Stock Appreciation Rights.
• A sign-on bonus may be offered as part of the compensation package.
• The listed range applies only to the base salary.
• Compensation will vary based on geographic location and level.
• Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.

Responsibilities

• On the Dynamic Agent Interactions (DAI) team at Zoo***, you will be dedicated to improving the driving behavior of our autonomous vehicles.
• Together, you will innovate through data-driven ML models and algorithmic enhancements, significantly improving our robot’s ability to handle the most complex driving scenarios on public roads.
• Safety is foundational at Zoo***, so you will take a measured approach – develop principled modifications, test in simulation, and validate on closed courses before on-road deployment.
• IN THIS ROLE, YOU WILL:

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