Autonomous Systems Engineer
4 weeks ago
At Zoox, we're developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Our team's work directly impacts how rapidly and successfully Zoox will achieve its goals. In this role, you will be responsible for populating the simulated roads with intelligent participants. This includes creating simulated cars, pedestrians, bicyclists, motorcyclists, etc. to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors. You will also push the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible. Work closely with various teams - including AI software teams, QA, and Validation Engineers - to push autonomous driving forward.
Key Responsibilities:
• Populate the simulated roads with intelligent participants
• Create simulated cars, pedestrians, bicyclists, motorcyclists, etc. to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors
• Push the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible
• Work closely with various teams - including AI software teams, QA, and Validation Engineers - to push autonomous driving forward
Requirements:
Bachelors or Masters degree in Computer Science or related field
8+ years of experience in a related field
Fluency in C++
Mathematics skills, including trigonometry and linear algebra
Bonus Qualifications:
Experience in game development, traffic simulation, motion planning, or pathfinding
Experience in automotive, robotics, data science, or machine learning
Familiarity with Python
Benefits:
This role 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. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.
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