Zoox
Senior Software Engineer, Autonomy Evaluation Platform
Zoox, Foster City, California, United States, 94420
Overview
The Autonomy Evaluation Platform team owns the core validation platform that supports developers across Planning, PCP, and Prediction. The platform is central to autonomy development, enabling teams to efficiently test, validate, and ship code at scale. The team is responsible for maintaining and scaling the platform, while also building new features and expanding cross-pillar adoption through Python tooling, APIs, and data engineering. Their work spans backend API development, Pandas-based data pipelines, and integration with V&V workflows, ultimately providing the infrastructure that powers autonomy development at scale. Responsibilities
You will lead the Validation Platform, leveraging technical skills to maintain a reliable core platform while scaling it to support autonomy development. You will set the short- and long-term technical direction for the platform, including the development of feature-rich APIs and backend services that enable autonomous development at scale. You will collaborate with engineers on the design and implementation of the platform, data engineering workflows, and API integrations that connect pipelines and strengthen the V&V ecosystem. You will partner cross-functionally with Planner, Prediction, and Validation and Verification teams to expand platform capabilities. Qualifications
MS or higher degree in Computer Science, or a related field, with 7+ years of hands-on experience Expert-level proficiency in Python and C++ Strong background in distributed systems, high-performance computing, and software architecture design Experience with data streaming/processing, storage systems, CI/CD pipelines, and automated testing frameworks Extensive experience designing scalable, real-time validation systems Bonus Qualifications
Familiarity with Simulation Frameworks Knowledge of autonomous vehicle software stacks Compensation
$200,000 - $271,000 a year 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. 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 Autonomy Evaluation Platform team owns the core validation platform that supports developers across Planning, PCP, and Prediction. The platform is central to autonomy development, enabling teams to efficiently test, validate, and ship code at scale. The team is responsible for maintaining and scaling the platform, while also building new features and expanding cross-pillar adoption through Python tooling, APIs, and data engineering. Their work spans backend API development, Pandas-based data pipelines, and integration with V&V workflows, ultimately providing the infrastructure that powers autonomy development at scale. Responsibilities
You will lead the Validation Platform, leveraging technical skills to maintain a reliable core platform while scaling it to support autonomy development. You will set the short- and long-term technical direction for the platform, including the development of feature-rich APIs and backend services that enable autonomous development at scale. You will collaborate with engineers on the design and implementation of the platform, data engineering workflows, and API integrations that connect pipelines and strengthen the V&V ecosystem. You will partner cross-functionally with Planner, Prediction, and Validation and Verification teams to expand platform capabilities. Qualifications
MS or higher degree in Computer Science, or a related field, with 7+ years of hands-on experience Expert-level proficiency in Python and C++ Strong background in distributed systems, high-performance computing, and software architecture design Experience with data streaming/processing, storage systems, CI/CD pipelines, and automated testing frameworks Extensive experience designing scalable, real-time validation systems Bonus Qualifications
Familiarity with Simulation Frameworks Knowledge of autonomous vehicle software stacks Compensation
$200,000 - $271,000 a year 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. 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