Zoox
Staff Software Engineer - Agent Simulation Tech Lead / Manager
Zoox, Seattle, Washington, us, 98127
Simulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate safety, and analyze our real-world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals.
For our simulators to successfully validate our autonomous driving stack, we need to realistically model and replicate the worlds we will be driving in. This includes modeling and simulating a wide variety of realistic behaviors for vehicles, cyclists, and pedestrians.
As a Tech Lead / Manager, you will be leading and managing a team of engineers focusing on our Agent Behaviors. This team specifically solves the challenge of simulating realistic vehicle and pedestrian traffic. It is critical to replicate a wide range of behaviors that we encounter while driving in real cities.
In this role, you will:
Develop the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible. Manage a team to develop realistic behaviors for simulated cars, pedestrians, bicyclists, and motorcyclists to populate the simulated world. Build technical roadmaps that meet product requirements and lead work on the team towards those goals. Leverage technical expertise to communicate with engineering leads, assessing technical trade-offs and their impacts on project scope, risk, and timelines to meet product goals. Develop processes that promote organizational efficiencies, and improve speed of alignment, decision-making, and execution. Qualifications
Bachelors or Masters degree in Computer Science or related field. 8+ years of experience developing real-time software such as simulation, robotics, game development, traffic simulation, etc. 8+ years of recent C++ development experience. 3D math skills, including trigonometry and linear algebra. 3+ years of experience managing engineering teams of 2+ people, delivering on both short-term goals and long-term strategic plans. Bonus Qualifications
Experience in automotive, robotics, data science, or machine learning. Familiarity with Python.
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 $200,000 to $285,000. 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. 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. Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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In this role, you will:
Develop the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible. Manage a team to develop realistic behaviors for simulated cars, pedestrians, bicyclists, and motorcyclists to populate the simulated world. Build technical roadmaps that meet product requirements and lead work on the team towards those goals. Leverage technical expertise to communicate with engineering leads, assessing technical trade-offs and their impacts on project scope, risk, and timelines to meet product goals. Develop processes that promote organizational efficiencies, and improve speed of alignment, decision-making, and execution. Qualifications
Bachelors or Masters degree in Computer Science or related field. 8+ years of experience developing real-time software such as simulation, robotics, game development, traffic simulation, etc. 8+ years of recent C++ development experience. 3D math skills, including trigonometry and linear algebra. 3+ years of experience managing engineering teams of 2+ people, delivering on both short-term goals and long-term strategic plans. Bonus Qualifications
Experience in automotive, robotics, data science, or machine learning. Familiarity with Python.
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 $200,000 to $285,000. 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. 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. Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
#J-18808-Ljbffr