Software Engineer AI Jobs at Zoox with Visa Sponsorship
Software Engineer AI jobs at Zoox involve building fully autonomous vehicles from the ground up, spanning perception, prediction, and motion planning at the core of that mission. 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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Get Access To All JobsINTRODUCTION
The Behavior Capabilities opportunity falls within the Fail Operational Planning team at Zoox. This team works to ensure that the robot continues to operate effectively, even in the presence of minor compartmentalized failures or degraded capabilities. The focus of the team includes developing behavioral and motion planning algorithms to improve trip progress, vehicle uptime metrics, and correspondingly a better customer experience. This is a cutting-edge problem which requires teamwork and collaboration across a diverse group of experts including Planner, Perception, Prediction, Hardware, and more.
On this team, you will contribute to the next generation of algorithmic advancements to expand our robot’s ability to drive in some of the most complex scenarios. We are looking for an engineer who is excited to understand the interdependencies within the driving stack and takes ownership of their projects and has a holistic product focused approach towards development.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
- Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system.
- Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack.
- Partner with validation teams to define and execute tests for developed algorithms.
BASIC QUALIFICATIONS
- Master's degree in Computer Science or related field and 7+ years of experience
- Fluency in C++
- Extensive experience with programming and algorithm design
- Understanding of vehicle kinematics
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
- Experience shipping products to market (commercial robotics, drones, consumer devices etc.)
- Demonstrated ability to create real-time motion planning algorithms in a cross-functional team
COMPENSATION
- 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.
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.
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
The Behavior Capabilities opportunity falls within the Fail Operational Planning team at Zoox. This team works to ensure that the robot continues to operate effectively, even in the presence of minor compartmentalized failures or degraded capabilities. The focus of the team includes developing behavioral and motion planning algorithms to improve trip progress, vehicle uptime metrics, and correspondingly a better customer experience. This is a cutting-edge problem which requires teamwork and collaboration across a diverse group of experts including Planner, Perception, Prediction, Hardware, and more.
On this team, you will contribute to the next generation of algorithmic advancements to expand our robot’s ability to drive in some of the most complex scenarios. We are looking for an engineer who is excited to understand the interdependencies within the driving stack and takes ownership of their projects and has a holistic product focused approach towards development.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
- Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system.
- Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack.
- Partner with validation teams to define and execute tests for developed algorithms.
BASIC QUALIFICATIONS
- Master's degree in Computer Science or related field and 7+ years of experience
- Fluency in C++
- Extensive experience with programming and algorithm design
- Understanding of vehicle kinematics
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
- Experience shipping products to market (commercial robotics, drones, consumer devices etc.)
- Demonstrated ability to create real-time motion planning algorithms in a cross-functional team
COMPENSATION
- 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.
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.
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.
See all 61+ Software Engineer AI Jobs at Zoox
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI Jobs at Zoox.
Get Access To All JobsTips for Finding Software Engineer AI Jobs at Zoox
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.
Confirm your visa category before applying
Zoox sponsors H-1B, E-3, TN, and F-1 OPT among others. If you're on OPT, verify your STEM extension eligibility early, since autonomous vehicle engineering roles qualify and give you up to 24 additional months of work authorization.
Request cap-exempt or expedited filing if timelines are tight
If your OPT expires before the next H-1B cap season, ask your Zoox recruiter about premium processing. USCIS currently adjudicates premium petitions within 15 business days, which matters when offer-to-start timelines are compressed.
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.
Frequently 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 visa, E-3 visa, TN visa, F-1 OPT, F-1 CPT, J-1 visa, 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 visa and H-1B1 visa 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.