Zoox
Systems Engineer, Autonomy Verification and Validation
Zoox - San Mateo, California, United States, 94404
Work at Zoox
Overview
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Overview
Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox's System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case and validating that our vehicles are safe enough to be deployed for autonomous driving. We play a foundational role for the success of the company. As Zoox prepares for public road deployment, we are seeking an experienced systems verification and validation engineer to lead the creation of cutting-edge V&V methodologies for our cloud-based fleet operations software. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement.
The information below covers the role requirements, expected candidate experience, and accompanying qualifications. In this role, you will:
Establish strategies and methodologies to evaluate the efficacy and effectiveness of human operators in their contribution to the safety case. Work cross-functionally to develop and execute comprehensive test plans (including simulation testing, bench testing, and vehicle structured testing, HIL testing) and procedures to verify and validate cloud-based product software for autonomous vehicle fleet operation. Troubleshoot and debug issues in the field and trace failures to correct subsystems. Improve verification and validation coverages based on the failures observed. Perform test data analysis and report test results. Maintain traceability between requirements, test cases, and results. Define and develop automated data extraction tools to streamline analysis and reporting. Qualifications
B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Systems Engineering, or a relevant field 6+ years of experience testing mission-critical cloud applications and infrastructures with emphasis on high availability and reliability Demonstrated experience in integration testing of cloud-based software for safety-critical robotic systems and/or autonomous vehicles Experience conducting human factors studies focused on safety-critical human-machine interfaces Proficiency in basic statistics and probability Experience with test scripting and data analysis languages (Python and SQL preferred) Ability to manage ambiguity and drive progress independently Strong communication skills and ability to work well with cross-functional teams Bonus Qualifications
Familiarity with cloud-based software infrastructure (AWS) and communication protocols (DDS, HTTPS, gRPC) Experience with test automation using hardware-in-the-loop (HIL) systems or software-in-the-loop (SIL) Experience with Linux Systems 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 $166,000 to $238,000. A sign-on 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 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 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. Follow us on LinkedIn 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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The information below covers the role requirements, expected candidate experience, and accompanying qualifications. In this role, you will:
Establish strategies and methodologies to evaluate the efficacy and effectiveness of human operators in their contribution to the safety case. Work cross-functionally to develop and execute comprehensive test plans (including simulation testing, bench testing, and vehicle structured testing, HIL testing) and procedures to verify and validate cloud-based product software for autonomous vehicle fleet operation. Troubleshoot and debug issues in the field and trace failures to correct subsystems. Improve verification and validation coverages based on the failures observed. Perform test data analysis and report test results. Maintain traceability between requirements, test cases, and results. Define and develop automated data extraction tools to streamline analysis and reporting. Qualifications
B.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Electrical, Mechanical, Systems Engineering, or a relevant field 6+ years of experience testing mission-critical cloud applications and infrastructures with emphasis on high availability and reliability Demonstrated experience in integration testing of cloud-based software for safety-critical robotic systems and/or autonomous vehicles Experience conducting human factors studies focused on safety-critical human-machine interfaces Proficiency in basic statistics and probability Experience with test scripting and data analysis languages (Python and SQL preferred) Ability to manage ambiguity and drive progress independently Strong communication skills and ability to work well with cross-functional teams Bonus Qualifications
Familiarity with cloud-based software infrastructure (AWS) and communication protocols (DDS, HTTPS, gRPC) Experience with test automation using hardware-in-the-loop (HIL) systems or software-in-the-loop (SIL) Experience with Linux Systems 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 $166,000 to $238,000. A sign-on 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 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 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. Follow us on LinkedIn 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