Data Analytics Engineer Jobs at Zoox with Visa Sponsorship
Zoox builds autonomous vehicles from the ground up, and its Data Analytics Engineer roles sit at the intersection of robotics data pipelines, fleet telemetry, and safety validation. Zoox has an established record of sponsoring work visas across multiple categories for engineering talent in this function.
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INTRODUCTION
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 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 decision-making in every aspect of the technology.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Lead efforts to improve the fidelity of Zoox’s 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 risk assessment framework
- Contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional 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 Zoox’s urban driving and simulation data
- At least 3 years of relevant work experience in understanding and quantifying safety risks
- Collaborative team player with strong written and in-person 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
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.
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.

INTRODUCTION
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 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 decision-making in every aspect of the technology.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Lead efforts to improve the fidelity of Zoox’s 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 risk assessment framework
- Contribute to the improvement and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional 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 Zoox’s urban driving and simulation data
- At least 3 years of relevant work experience in understanding and quantifying safety risks
- Collaborative team player with strong written and in-person 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
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.
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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Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Zoox Jobs
Tailor your portfolio to autonomous vehicle data
Zoox's analytics work centers on sensor fusion, robotics telemetry, and large-scale fleet data. Showcase projects involving time-series pipelines, real-time data infrastructure, or safety-critical datasets. Generic BI or web analytics experience won't differentiate you here.
Target teams working on simulation and safety data
Data Analytics Engineers at Zoox often sit closest to autonomy validation and simulation pipelines. Roles tied to those teams tend to have the clearest sponsorship precedent, since they require specialized technical skills that support a strong specialty occupation argument for H-1B petitions.
Align your degree field with the role requirements
USCIS requires a direct relationship between your degree and the job duties for H-1B and E-3 approval. For data engineering roles at an autonomous vehicle company, degrees in computer science, statistics, or data science support that connection most cleanly.
Start OPT or CPT paperwork well before your offer
F-1 students targeting Zoox should initiate DSO paperwork as early as possible. OPT authorization can take up to 90 days from USCIS, and Zoox's onboarding timelines in hardware-intensive teams don't flex easily around authorization delays.
Use Migrate Mate to filter open roles by visa type
Zoox posts Data Analytics Engineer openings across multiple teams with varying sponsorship paths. Use Migrate Mate to filter listings by the visa categories Zoox actively supports, so you're applying to roles where your specific status already fits the company's sponsorship process.
Data Analytics Engineer at Zoox jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Zoox JobsFrequently Asked Questions
Does Zoox sponsor H-1B visas for Data Analytics Engineers?
Yes, Zoox sponsors H-1B visas for Data Analytics Engineers. The role typically qualifies as a specialty occupation given the degree requirements in computer science, data science, or a related field. Zoox also sponsors H-1B1 visas for Chilean and Singaporean nationals and has an active record of supporting both initial petitions and extensions for engineering roles.
Which visa types does Zoox commonly use for Data Analytics Engineer roles?
Zoox sponsors a broad range of visa categories for Data Analytics Engineers, including H-1B, H-1B1, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 for exchange visitors, and EB-2 and EB-3 for permanent residence pathways. The right category depends on your nationality, current status, and career stage.
What qualifications does Zoox expect for Data Analytics Engineer positions?
Zoox's Data Analytics Engineer roles typically require a bachelor's degree or higher in computer science, data engineering, statistics, or a closely related field. Hands-on experience with large-scale data pipelines, SQL, Python, and distributed systems like Spark or Flink is expected. Familiarity with robotics or automotive sensor data is a strong differentiator given the nature of Zoox's product.
How do I apply for Data Analytics Engineer jobs at Zoox?
You can browse and apply for Data Analytics Engineer roles at Zoox directly through Migrate Mate, which filters open positions by visa sponsorship type so you can confirm your category is supported before applying. When you apply, align your resume to Zoox's autonomy and data infrastructure context. Recruiters move quickly on strong technical fits, so having your visa documentation and degree credentials ready speeds up screening.
How do I plan my timeline if I need Zoox to file an H-1B for me?
H-1B cap-subject petitions are filed in April for an October 1 start date. If you're not currently in H-1B status, build your job search timeline to secure an offer before early March, giving Zoox's immigration team enough runway to prepare the petition before the USCIS registration window opens. F-1 OPT holders can bridge the gap with a cap-gap extension if their OPT expires before October 1.
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