Amazon

Senior Machine Learning Engineer - Perception 3D Segmentation

Foster City, CA

Pay: USD 254,000–350,000/year — pay source
Salary 254,000 – 350,000 USD per year About Zoox
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Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

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What you’ll work on

Full posting

Design multi-modal sensor fusion models for 3D occupancy, segmentation and flow
Build vision-first fusion strategies to improve geometric understanding
Engineer temporal modules to keep predictions stable over time
Optimize models for real-time on-vehicle inference under strict latency limits
Refine geometric outputs such as contours and free space with downstream teams

From the employer’s posting

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

What you’ll bring

All qualifications

Core experience

Deep expertise in 3D Computer Vision and Deep Learning, specifically with voxel-based or BEV (Bird's Eye View) architectures.
Experience optimizing models for TensorRT/CUDA to achieve low-latency inference.
Strong proficiency in Python and deep learning frameworks (PyTorch) for model training and design as well as some experience in C++ for model integration.
Familiarity with sparse convolutions or query-based architectures for efficient 3D processing.
Experience with multi-sensor fusion (Lidar, Camera, Radar) and handling temporal data sequences.
Experience with Vision Language Model, or multi-modal 3D foundation model, or World Model, or VLA.

Qualification wording

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

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

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

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

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

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

Education & alternatives

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.

Tools in this posting

C++
Python
PyTorch

Source

- 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.

About Amazon

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

In the employer’s words · Read in context

Posting record

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Open 3 monthsWe first saw this posting 104 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 17, 2026 · 104 days ago
Recorded sightings: 162
Last seen by us: Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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.

Salary

254,000 – 350,000 USD per year

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.

Employment type

Full-time

Source details

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Pay

Salary 254,000 – 350,000 USD per year About Zoox

Location & working pattern

Foster City, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jobs.lever.co ↗Read the full description ↓

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