Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.
In this role, you will:- Generate test sets of driving logs to evaluate the performance of the autonomous driving system
- Validate and optimize the test sets to ensure they meet requirements and reflect the statistical distribution of our targeted robotaxi service.
- Collaborate with cross-functional stakeholders to gather requirements and integrate test sets with our testing frameworks
- Develop and maintain data pipelines and tools for efficient test set creation and management
- Define and document best practices for the design, curation, and maintenance of large-scale test sets
- Present findings and test-set characteristics to both technical and non-technical audiences to inform system development
Qualifications- Master's Degree in Data Engineering, Data Science, Quantitative Science or a related field and at least 3 years of relevant industry experience or PhD in Data Engineering, Data Science, Quantitative Science or a related field
- Proficiency in Python for data analysis and scripting
- Experience building and curating large test sets for statistical studies or performance analysis
- Strong communication and collaboration skills for working with cross-functional teams
Bonus Qualifications- Experience with PySpark
- Experience with big data platforms such as Databricks or AWS EMR
- Professional experience in the autonomous driving domain
$152,000 - $220,000 a year
Base Salary RangeThere 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.
About ZooxZoox 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.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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