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60 Zoox Senior Engineer Jobs Hiring Near You

Zoox

Software Engineer, Android

Foster City, CA · On-site

$136K - $206K/yr

... Zoox's rider experience. You will work closely with senior engineers to establish robust, usable ... and secure interfaces that connect our riders to our autonomous fleet. We're designing and building ...

Zoox

Senior Engineering Manager, ML Platform

Foster City, CA · On-site

$317K - $370K/yr

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up ... Our growing Software Infrastructure engineering leadership team is looking for a Senior Engineering ...

Zoox

Senior Engineering Manager, ML Platform

Foster City, CA · On-site

$317K - $370K/yr

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up ... Our growing Software Infrastructure engineering leadership team is looking for a Senior Engineering ...

Zoox

Software Engineer, Android

Foster City, CA

$136K - $206K/yr

... Zoox's rider experience. You will work closely with senior engineers to establish robust, usable ... and secure interfaces that connect our riders to our autonomous fleet. We're designing and building ...

Zoox

Software Engineer, Android

Foster City, CA · On-site

$136K - $206K/yr

... Zoox's rider experience. You will work closely with senior engineers to establish robust, usable ... and secure interfaces that connect our riders to our autonomous fleet. We're designing and building ...

Zoox

Senior / Staff Lidar Engineer

Foster City, CA · On-site

$217K - $300K/yr

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 artificial intelligence ...

Zoox

Senior / Staff Lidar Engineer

Foster City, CA · On-site

$217K - $300K/yr

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 artificial intelligence ...

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Zoox Jobs Information

What is it like to work at Zoox?

Zoox is a technology company that prioritizes innovation and collaboration, fostering a culture that encourages experimentation and creativity. As a leader in autonomous mobility, Zoox's team structure is designed to facilitate cross-functional collaboration, with engineers, designers, and researchers working together to develop cutting-edge autonomous vehicles and mobility solutions. Working at Zoox may appeal to candidates who are passionate about shaping the future of transportation and are eager to contribute to a mission-driven organization that is pushing the boundaries of autonomous technology.

What makes Zoox an attractive place to work?

Zoox is a leading autonomous vehicle technology company that aims to revolutionize the transportation industry with its cutting-edge innovations. The company's workplace is characterized by a culture of collaboration, innovation, and experimentation, where employees are encouraged to think creatively and push the boundaries of what is possible. By joining Zoox, individuals can contribute to shaping the future of transportation, develop their skills in a rapidly evolving field, and be part of a dynamic team that is driving meaningful change.
What other companies are hiring for Senior Engineer jobs?
Infographic showing various Senior Engineer job openings at Zoox in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior Machine Learning Engineer - Perception 3D Segmentation

Zoox

Foster City, CA

$242K - $290K/yr

Full-time

Posted 26 days ago

Job description

The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment. In this role, you will contribute to the development of our next-generation 3D occupancy and segmentation networks. You will architect and optimize high-performance deep learning models that generate dense, temporally consistent voxel representations of the driving environment. This work is critical for enabling our vehicle to navigate complex urban scenarios, handle rare obstacles, and drive safely in tight spaces by providing precise geometry and motion estimates to downstream planners.
In this role, you will...

  • Design and implement state-of-the-art multi-modal sensor fusion architectures (Lidar, Camera, Radar) to predict 3D occupancy, semantic segmentation, and flow .

  • Develop "vision-first" fusion strategies to enhance geometric understanding and reduce dependency on sparse sensor modalities .

  • Engineer temporal processing modules to improve the stability and consistency of predictions over time.

  • Optimize model architectures for real-time on-vehicle inference, balancing high-fidelity range extension with strict latency constraints .

  • Collaborate with downstream consumers (Tracking, Prediction, Planner) to refine geometric outputs, such as contours and free-space estimations, for complex maneuvering.

Qualifications

  • MS or PhD in Computer Science, Robotics, Machine Learning, or related field with 6+ years of industry experience.

  • Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.

  • Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.

  • Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.

  • Experience with occupancy networks, implicit representations (NeRF/Gaussian Splats), or scene flow estimation.

Bonus Qualifications

  • Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.

  • Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.

  • Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA.

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.

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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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.