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Modality Engineer Jobs (NOW HIRING)

GlobalFoundries inc.

NY · On-site

$98K - $176K/yr

Cross-Modality Integration* Transfer learning and best practices between modalities.* Standardize execution methodologies and governance processes.* Facilitate coordination between platform and ...

Zyphra

Data Engineer - Multimodal Systems

San Francisco, CA · On-site

$134K - $162K/yr

As a Data Engineer - Multimodal Systems , you will be a core contributor to creating, collecting ... Large-scale data collection across a variety of modalities (text, audio, image) * Designing and ...

Baptist Health Care

Imaging Engineer II

Pensacola, FL · On-site

The Imaging Engineer II is a technical expert on at least two modalities (x‑ray systems, and at least one advanced mission‑critical modality like CT, MRI, PET, Nuc, CVI) and serves as the primary ...

nGenium

Senior Imaging Service Engineer (NYC)

New York, NY · On-site

$80K - $130K/yr

If you're a technically strong engineer looking for stability, growth, and exposure to multiple imaging modalities, this opportunity offers strong long-term potential. Key Responsibilities: Install ...

Howmet Aerospace

NDT Equipment Engineer

Whitehall, MI · On-site

NDT Automated Defect Review -- Design, configure, and optimize ADR workflows using NDT modalities ... Bachelor's degree in Mechanical, Industrial, Manufacturing Engineering, Automation Engineering, NDT ...

Elekta

Senior Field Service Engineer

Able to mentor Field Service Engineers in primary and secondary modalities. * Able to train and ... sign off specific tasks for unqualified engineers. * Assist in local project management. * Work ...

Elekta AB

Senior Field Service Engineer

Atlanta, GA · On-site

Mentor Field Service Engineers in primary and secondary modalities. * Train and sign off specific tasks for unqualified engineers. * Assist in local project management. * Work safely in confined ...

nGenium

X-ray Service Engineer

Seattle, WA · On-site +1

$90K - $120K/yr

With a strong focus on employee development, they offer opportunities for engineers to expand into multi-modality support, including MRI and CT. Role Overview: This field-based position involves ...

nGenium

Imaging Field Service Engineer

Reno, NV · On-site

$75K - $95K/yr

Job Summary Imaging Field Service Engineer Location: Reno, NV (Full-time, Permanent) Salary: Up to ... modalities. Key Requirements: • 3+ years of field service experience within medical imaging or ...

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Modality Engineer information

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$46.5K

$97.1K

$136.5K

How much do modality engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for modality engineer in the United States is $97,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Modality Engineer jobs?

For Modality Engineer jobs, the most frequently searched job titles are:

Infographic showing various Modality Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $97,063 per year, or $46.7 per hour.

Senior Machine Learning Engineer - Perception 3D Segmentation

Foster City, CA

Zoox
Manufacturing • 1 - 5K employees
Learn more about Zooxexternal

$254K - $350K/yr

Full-time

Medical, Life, PTO

Re-posted 26 days ago

Key responsibilities

  • Design and implement multi-modal sensor fusion architectures to predict 3D occupancy, semantic segmentation, and flow.

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

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

Zoox rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

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.

What Zoox employees say

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Benefits

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About Zoox

Sourced by ZipRecruiter

Zoox is dedicated to creating the world's first fully autonomous vehicle fleet and the necessary ecosystem to make this technology accessible. Positioned at the crossroads of robotics, machine learning, and design, Zoox strives to deliver the future of mobility-as-a-service in urban settings. We seek exceptional individuals who share our enthusiasm and are eager to join a dynamic and results-driven team.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Foster City, CA, US

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