Data Engineer Jobs at Zoox with Visa Sponsorship
Data Engineer jobs at Zoox sit at the center of building autonomous vehicles from the ground up, handling the sensor fusion pipelines, robotics datasets, and fleet telemetry that power self-driving systems. Zoox has a consistent track record of sponsoring work visas across multiple categories for this function.
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Get Access To All JobsINTRODUCTION
Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems.
You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward.
ROLE AND RESPONSIBILITIES
- Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.
- Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.
- Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.
- Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.
- Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.
- Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.
BASIC QUALIFICATIONS
- MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
- Proficiency in Python and SQL with experience in production-quality code
- Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
- Experience with large-scale data analysis and statistical modeling
- Proficiency with Git, unit testing, and collaborative development practices
PREFERRED QUALIFICATIONS
- Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
- Experience with designing metrics and delivering actionable insights that drive business decisions
COMPENSATION
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.
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.
INTRODUCTION
Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems.
You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing. You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines. These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service. The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward.
ROLE AND RESPONSIBILITIES
- Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability.
- Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.
- Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.
- Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies.
- Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation.
- Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data.
BASIC QUALIFICATIONS
- MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
- Proficiency in Python and SQL with experience in production-quality code
- Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
- Experience with large-scale data analysis and statistical modeling
- Proficiency with Git, unit testing, and collaborative development practices
PREFERRED QUALIFICATIONS
- Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
- Experience with designing metrics and delivering actionable insights that drive business decisions
COMPENSATION
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.
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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Get Access To All JobsTips for Finding Data Engineer Jobs at Zoox
Tailor your portfolio to autonomous vehicle data
Zoox's Data Engineer roles center on large-scale sensor data, simulation pipelines, and real-time telemetry. Before applying, document projects involving time-series data, distributed processing, or robotics datasets specifically, so your experience maps directly to their tech stack.
Clarify your visa category before your first interview
Zoox sponsors multiple visa types including H-1B, E-3, TN, and F-1 OPT. Knowing which category applies to you before the recruiter screen saves time and signals you understand the process, which matters to engineering hiring teams at companies with active immigration programs.
Use Migrate Mate to surface open Data Engineer roles at Zoox
Zoox posts Data Engineer openings across specializations that aren't always easy to track. Migrate Mate filters roles by visa sponsorship type so you can identify which positions align with your authorization category before investing time in an application.
Align your degree field to the specialty occupation standard
For H-1B eligibility, USCIS requires your degree to directly relate to the role. Data Engineer positions typically require computer science, electrical engineering, or a closely related field. A mismatch between your diploma and the job description is one of the most common petition complications.
Account for LCA filing lead time in your offer timeline
Before Zoox can file your H-1B petition, the DOL must certify a Labor Condition Application, which takes up to seven business days under standard processing. Build that window into your expected start date so it doesn't create friction after you've accepted an offer.
Flag OPT cap-gap eligibility if your H-1B is pending
If you're on F-1 OPT and Zoox files an H-1B petition before your OPT expires, cap-gap rules may extend your work authorization through September 30. Confirm this with USCIS guidance rather than assuming continuity, since any gap in authorization would interrupt your employment at Zoox.
Frequently Asked Questions
Does Zoox sponsor H-1B visas for Data Engineers?
Yes, Zoox sponsors H-1B visas for Data Engineer roles. The company has an established immigration program and works with legal counsel to file petitions for qualifying candidates. Because H-1B approvals are subject to the annual lottery cap, timing your application cycle and having your documentation in order before the March registration window opens is critical.
How do I apply for Data Engineer jobs at Zoox?
You can apply directly through Zoox's careers portal. To find roles filtered by visa sponsorship type before applying, Migrate Mate lists open Data Engineer positions at Zoox and lets you search by the visa categories the company supports. Tailoring your resume to highlight experience with large-scale data pipelines, sensor data processing, or autonomous systems will strengthen your application for this role.
Which visa types does Zoox commonly use for Data Engineer hires?
Zoox sponsors a range of visa categories for Data Engineers, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican professionals, and F-1 OPT and CPT for students completing U.S. degree programs. Candidates on a Green Card path may also be supported through EB-2 or EB-3 sponsored PERM filings.
What qualifications does Zoox typically expect from Data Engineer candidates?
Zoox's Data Engineer roles generally require a bachelor's degree or higher in computer science, electrical engineering, or a related technical field, alongside hands-on experience with distributed data systems and pipeline tooling. Backgrounds in robotics data, sensor fusion, or simulation workflows are particularly relevant given the company's autonomous vehicle focus. USCIS requires the degree field to directly correspond to the role for H-1B specialty occupation purposes.
How do I plan my timeline if I'm relying on H-1B sponsorship at Zoox?
The H-1B process runs on a fixed annual calendar. USCIS opens registration in early March, and selected candidates can begin employment no earlier than October 1. That means if you're hired outside an existing cap-exempt or OPT window, you may wait several months before your status activates. Factoring this into your start date negotiation with Zoox's recruiting team avoids last-minute complications.