# Senior Machine Learning  Engineer - Perception 3D Segmentation

Source: https://realanalystjobs.com/job/senior-machine-learning-engineer-perception-3d-segmentation-zoox-c5771a1f
Senior Machine Learning Engineer - Perception 3D Segmentation at Zoox, an on-site role based in Foster City, California, USA. Experience level: 6+ Years. Pay stated in the posting: USD 254,000 to 350,000 per year. Posted on 17 July 2026, read from Zoox's own careers page (Lever), which RealAnalystJobs re-checks daily and removes the role when it closes. Zoox has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Updated 15 November 2026.

## Key facts

- Company: [Zoox](https://realanalystjobs.com/companies/zoox)
- Location: Foster City, California, USA
- Work mode: On-site
- Pay stated in the posting: USD 254,000 to 350,000 per year
- Posted: Jul 17, 2026
- Employment type: Full time
- Experience level: 6+ Years
- Source: Zoox's careers page (Lever), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python)

## Visa sponsorship

The posting does not say.

Zoox had H-1B petitions approved for 271 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/zoox#h1b-record)

## About this role

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 .

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

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

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

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

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

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

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

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

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

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

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

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

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.

Follow us on LinkedIn

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.

Description from Zoox's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-machine-learning-engineer-perception-3d-segmentation-zoox-c5771a1f) and use Apply now there to reach the employer's application. The listing is re-checked against Zoox's careers page daily and removed when it closes.

## Zoox

7 open analyst roles on Real Analyst Jobs. [More roles at Zoox](https://realanalystjobs.com/companies/zoox)

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## Sources and links

- [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-machine-learning-engineer-perception-3d-segmentation-zoox-c5771a1f)
- [Zoox on Real Analyst Jobs](https://realanalystjobs.com/companies/zoox)
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