Software Engineer AI Jobs at Zoox with Visa Sponsorship
Zoox builds fully autonomous vehicles from the ground up, and Software Engineer AI roles sit at the core of that mission, spanning perception, prediction, and motion planning. Zoox sponsors a broad range of work visas for this function, making it a realistic target for international candidates with the right technical background.
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INTRODUCTION
As a Software Engineer and member of the Platform Stability team, you will help build, fine-tune, and maintain a novel AI-powered tool for diagnosing technical issues and identifying root causes. You will collaborate cross-functionally to gather requirements, develop AI/ML and analytical models, and drive data-driven insights — all as part of a high-performing team.
ROLE AND RESPONSIBILITIES
Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling
Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure
Develop evaluation and scoring systems to measure and continuously improve model output quality
Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability
Collaborate with cross-functional teams to translate business requirements into technical AI solutions
Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance
BASIC QUALIFICATIONS
BS in relevant engineering discipline and 4+ years of relevant work experience
SW development, Strong Python with applications in AI/ML
Familiarity with AI agents and their applications, including prompt design, tool calling, context management, and evaluation
Experience or strong interest in Data Science and Engineering
Experience or strong interest in creating Analytical or AI/ML-based models for real-world problems
Strong problem-solving skills, especially in simplifying and modelling real-world problems
PREFERRED QUALIFICATIONS
Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
Experience integrating AI capabilities into applications or eagerness to learn application development
* Full-stack development experience with both backend and frontend technologies
COMPENSATION
- Base Salary Range: $184,000 - $231,000 a year
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.
ACCOMMODATIONS
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.
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
As a Software Engineer and member of the Platform Stability team, you will help build, fine-tune, and maintain a novel AI-powered tool for diagnosing technical issues and identifying root causes. You will collaborate cross-functionally to gather requirements, develop AI/ML and analytical models, and drive data-driven insights — all as part of a high-performing team.
ROLE AND RESPONSIBILITIES
Design and implement agentic AI systems with structured interfaces, reasoning loops, and robust error handling
Build and maintain data pipelines, scheduled workflows, and benchmarking infrastructure
Develop evaluation and scoring systems to measure and continuously improve model output quality
Integrate the platform with internal and external services, including ticketing, messaging, storage, and observability
Collaborate with cross-functional teams to translate business requirements into technical AI solutions
Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance
BASIC QUALIFICATIONS
BS in relevant engineering discipline and 4+ years of relevant work experience
SW development, Strong Python with applications in AI/ML
Familiarity with AI agents and their applications, including prompt design, tool calling, context management, and evaluation
Experience or strong interest in Data Science and Engineering
Experience or strong interest in creating Analytical or AI/ML-based models for real-world problems
Strong problem-solving skills, especially in simplifying and modelling real-world problems
PREFERRED QUALIFICATIONS
Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
Experience integrating AI capabilities into applications or eagerness to learn application development
* Full-stack development experience with both backend and frontend technologies
COMPENSATION
- Base Salary Range: $184,000 - $231,000 a year
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.
ACCOMMODATIONS
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.
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 Software Engineer AI Jobs at Zoox Jobs
Align your portfolio to autonomy stacks
Zoox's AI engineers work on perception, sensor fusion, and behavior prediction for a purpose-built robotaxi. Tailor your portfolio projects to show end-to-end ML pipelines or real-time inference work, not just academic model training.
Use Migrate Mate to track open AI engineering roles
Zoox's Software Engineer AI openings vary by specialization, including planning, perception, and simulation. Use Migrate Mate to filter for sponsor-confirmed roles and surface positions that match your visa type before they close.
Prepare a specialty occupation justification for H-1B filing
DOL Labor Condition Applications for AI roles at automotive companies sometimes face scrutiny over whether a specific degree is required. Document the theoretical and applied machine learning foundations your role demands to strengthen the specialty occupation case.
Time your TN or E-3 renewal around Zoox project cycles
TN and E-3 visas require employer revalidation at renewal. Coordinate your renewal timeline with your team lead well before expiry so the updated Labor Condition Application is certified and your travel to a consulate doesn't conflict with critical project milestones.
Software Engineer AI at Zoox jobs are hiring across the US. Find yours.
Find Software Engineer AI at Zoox JobsFrequently Asked Questions
Does Zoox sponsor H-1B visas for Software Engineer AIs?
Yes, Zoox sponsors H-1B visas for Software Engineer AI roles. The company participates in the annual H-1B cap lottery for new applicants and also files cap-exempt petitions where eligible. If you're already on an H-1B with another employer, Zoox can initiate a transfer petition so you can start working while USCIS adjudicates the new filing.
How do I apply for Software Engineer AI jobs at Zoox?
Applications go through Zoox's careers portal, where AI engineering roles are listed by specialization such as perception, prediction, and planning. You can also browse sponsor-confirmed Software Engineer AI openings at Zoox through Migrate Mate, which filters roles by visa type so you can confirm fit before applying. Expect a technical screen, system design round, and domain-specific ML interviews.
Which visa types does Zoox commonly use for Software Engineer AI roles?
Zoox sponsors H-1B, H-1B1, E-3, TN, F-1 OPT, F-1 CPT, J-1, and employment-based Green Card categories including EB-2 and EB-3. Australian citizens and Chilean and Singaporean nationals have additional options through the E-3 and H-1B1 categories respectively, both of which have no lottery and faster timelines than the standard H-1B cap process.
What qualifications does Zoox expect for Software Engineer AI positions?
Most Software Engineer AI roles at Zoox require a bachelor's degree or higher in computer science, electrical engineering, robotics, or a closely related field, with hands-on experience in machine learning, computer vision, or motion planning. Familiarity with C++ or Python in production environments and experience deploying models on real-time systems carry particular weight, given Zoox's focus on a fully autonomous, sensor-heavy vehicle platform.
How do I navigate the visa filing timeline after receiving a Zoox offer?
Once you have an offer, Zoox's immigration team typically works with outside counsel to file the Labor Condition Application with DOL first, which must be certified before the H-1B or E-3 petition is submitted. The full process from offer acceptance to work authorization can range from a few weeks for TN or E-3 approvals to several months for H-1B adjudication without premium processing, so flag your current status and expiry date to your recruiter immediately.
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