Senior Software Engineer - Controls Metrics

Full-time

Job Description

Zoox is looking for a controls metrics engineer to join our Planning and Control team. The controls team is responsible for our vehicle’s longitudinal and lateral dynamics. As Zoox moves towards deploying vehicles at scale we need a controls engineer to monitor and optimize fleet wide performance of the system.

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox 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. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

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.

In this role, you will:

You will define key performance metrics for our safety critical control system in order to guide product development to a commercial launch

You will work closely with software engineers, data engineers, and data scientists to develop metrics and tools for analyzing errors and guiding improvements in our systems

You will apply distributed computing algorithms to efficiently analyze petabytes of urban driving data

You will contribute to the refinement and optimization of the control system

You will contribute to all phases of the software development cycle

Qualifications

BS or MS degree in Computer Science, Electrical Engineering, Mechanical Engineering, Data Science, or related field Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field

Strong programming skills in C / C++ and Python

Strong background in controls (PID, LQR, MPC, etc.) for complex dynamic systems

Strong background in statistics, mathematical, and geometrical skills

Understanding of vehicle dynamics and automotive sensors and actuators

Bonus Qualifications

PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field

Experience with designing metrics and delivering actionable insights that drive business decisions

Experience with large-scale data analysis and statistical modeling as well as hands-on experience with production machine learning pipelines (including dataset creation, training frameworks, and metrics pipelines)

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