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Zoox Jobs (NOW HIRING)

Zoox

Director, Production

Hayward, CA · On-site

$279K - $335K/yr

Reporting to the Senior Director of Manufacturing Engineering and General Assembly, you will be a critical leader in the Zoox Manufacturing Operations team. Your responsibilities will encompass ...

Zoox

Robot Program Director

Foster City, CA

Zoox is developing autonomous mobility from the ground up. The Vehicle Program team ensures that this groundbreaking vehicle is delivered, meeting its high-performance targets while remaining on time ...

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Zoox

Supply Chain Program Manager

Foster City, CA

$166.70K/yr

In this role, you will own the Supplier Health & Readiness initiative at Zoox, functioning as the overall program manager as well as key liaison between strategic sourcing, supplier quality and ...

Zoox

Senior Technical Recruiter

Foster City, CA · On-site

$160K - $193K/yr

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution that's optimized for the passenger experience. We have a proactive strategy that comprises ...

Zoox

Machine Learning Engineer - Perception

Seattle, WA · On-site

$189K - $258K/yr

The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a ...

Zoox

Staff Vehicle Attributes Engineer

Foster City, CA · On-site

$187K - $259K/yr

At Zoox, we're redefining mobility by building an autonomous ride-sharing experience that's safe, efficient, and unlike anything on the road today. We're not just building a car, we're redefining ...

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How much do zoox jobs pay per hour?

As of May 30, 2026, the average hourly pay for zoox in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a Zoox job?

A Zoox job refers to a role at Zoox, an autonomous vehicle company focused on developing purpose-built, fully autonomous robotaxis. Zoox hires professionals across engineering, software development, operations, and safety to create and deploy its self-driving technology. Jobs at Zoox typically involve working on cutting-edge AI, robotics, and mobility solutions aimed at revolutionizing urban transportation.

What are the key skills and qualifications needed to thrive in the Zoox position, and why are they important?

To thrive at Zoox, candidates typically need a background in robotics, computer science, engineering, or related fields, with hands-on experience in autonomous systems or automotive technology. Familiarity with software development languages like C++ or Python, simulation tools, and robotics middleware such as ROS is often expected, along with relevant certifications or project work. Strong problem-solving skills, adaptability, and the ability to work collaboratively within cross-functional teams are highly valued. These capabilities are crucial in advancing cutting-edge autonomous mobility solutions and ensuring seamless team integration at Zoox.

What are the typical day-to-day responsibilities for someone working at Zoox in an engineering role?

As an engineer at Zoox, your daily responsibilities may include designing and testing autonomous vehicle systems, developing and optimizing software, and conducting simulations to ensure safety and efficiency. You’ll often collaborate closely with teammates in mechanical, electrical, and software engineering, as well as with project managers and QA specialists, to solve technical challenges and advance project milestones. Regular cross-team meetings and code reviews are a normal part of the workflow. Zoox fosters an innovative, fast-paced environment where ongoing learning and teamwork are essential for success in delivering next-generation urban mobility solutions.
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What cities are hiring for Zoox jobs? Cities with the most Zoox job openings:
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Zoox jobs near you
Infographic showing various Zoox job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Senior/Staff Machine Learning Engineer - MLA Perception Offline Driving Intelligence

Zoox

Boston, MA

$113.50K - $155.90K/yr

Full-time

Posted 12 days ago

Job description

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments.
 
As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.
 
In this role, You will...
  • Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environments
  • Design effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.
  • Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities
  • Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline
  • Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system
Qualifications
  • MS or PhD in Computer Science, Machine Learning, or related technical field
  • Demonstrated experience training and deploying large language models (LLMs)
  • Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation
  • Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects
  • Experience training with large scale datasets (e.g. tens of millions of videos)
Bonus Qualifications
  • Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)
  • Experience with autonomous robotics systems
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.
 
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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.

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.