drjobs SeniorStaff Safety Research Engineer Quantitative Risk Assessment

SeniorStaff Safety Research Engineer Quantitative Risk Assessment

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Foster, CA - USA

Monthly Salary drjobs

$ 171000 - 282000

Vacancy

1 Vacancy

Job Description

Zoox is on an ambitious journey to develop a fullstack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zooxs System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company. As a safety research engineer focused on quantitative risk assessment you will help Zoox to improve and expand our existing safety risk assessment framework. The safety risk assessment framework is a critical part of the overall safety case and informs the decisionmaking in every aspect of the technology.

In this role you will:

    • Lead efforts to improve the fidelity of Zooxs safety and progress performance metrics
    • Apply distributed computing algorithms to efficiently analyze petabytes of urban driving and vehicle testing data
    • Develop and standardize best practices of safety risk assessment across the company
    • Develop and automate the tooling of the the risk assessment framework
    • Contribute to the improvement and evolution of the Safety Case of Zoox technology in close collaboration with crossfunctional teams including Software Hardware Vehicle Development Fleet Operations Safety Strategy and Operations Legal etc.

Qualifications

    • M.S. or higher degree in an Engineering or Science discipline with a strong focus on Statistics Probability Theory or Data Science
    • Proficiency in quantitative analysis/modeling tools
    • Proficient with SQL / Spark / Python for interfacing with Zooxs urban driving and simulation data
    • At least 2 years of relevant work experience in understanding and quantifying safety risks
    • Collaborative team player with strong written and inperson communication skills

Bonus Qualifications

    • Ph.D. in an Engineering or Science discipline with a strong Data Science or Statistics focus
    • Publications in the field of quantitative risk assessment for safety engineering
    • Experience with human behavior data
Compensation
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. The salary range for this position is $171000 to $282000. A signon bonus may be offered as part of the compensation package. 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 candidates 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 longterm care insurance longterm and shortterm disability insurance and life insurance.


About Zoox
Zoox is developing the first groundup 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 mobilityasaservice in urban environments. Were looking for top talent that shares our passion and wants to be part of a fastmoving and highly executionoriented team.




Required Experience:

Staff IC

Employment Type

Full-Time

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.