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Image Engineering Jobs in Texas (NOW HIRING)

Cotality

Principal, AI Engineering

Dallas, TX · On-site

$134 - $185/hr

Familiarity with Data Engineering technologies like Dataflow (Apache BEAM), DataProc (Apache Spark ... Design and implement scalable, high-performance Document Image extraction pipelines using Google ...

ON.energy

Sr. RHEL Systems Engineer, OT/SCADA

Houston, TX · Hybrid

$99K - $136K/yr

... image and the containerized Ignition SCADA workload running on industrial PCs across U.S. data-center sites, and act as our deep RHEL authority and L3 escalation point. This is a platform-engineering ...

ON.energy

Sr. RHEL Systems Engineer, OT/SCADA

Houston, TX · On-site

$99K - $136K/yr

... image and the containerized Ignition SCADA workload running on industrial PCs across U.S. data-center sites, and act as our deep RHEL authority and L3 escalation point. This is a platform-engineering ...

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All JobsImage Engineering JobsImage Engineering Jobs in Texas

Image Engineering information

See Texas salary details

$30.3K

$58.7K

$89K

How much do image engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for image engineering in Texas is $58,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by image engineers when working with large-scale image datasets?

Image Engineers often encounter challenges related to handling and processing large volumes of high-resolution image data, such as ensuring efficient data storage, optimizing data pipelines, and maintaining fast retrieval speeds. Additionally, managing data quality and consistency across diverse sources and formats can present difficulties. Collaborating closely with data scientists and software engineers is crucial to streamline workflows and implement scalable solutions. Staying updated with the latest image processing tools and frameworks also helps in overcoming these challenges.

What is image engineering?

Image engineering is the process of designing, developing, and optimizing systems and algorithms for capturing, processing, analyzing, and displaying digital images. Professionals in this field work with hardware and software to improve image quality, automate image analysis, and create solutions for industries like photography, medical imaging, surveillance, and computer vision. Image engineers often use programming, signal processing, and machine learning to solve complex visual problems and enhance digital workflows.

What are the key skills and qualifications needed to thrive as an image engineer, and why are they important?

To thrive as an Image Engineer, you need a solid background in image processing, computer vision, and programming languages such as Python or C++, typically supported by a degree in computer science, electrical engineering, or a related field. Familiarity with image processing libraries (e.g., OpenCV), machine learning frameworks, and version control systems is essential. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and troubleshoot complex imaging issues. These skills ensure the development of accurate, efficient, and innovative imaging solutions critical for various applications across industries.

What are popular job titles related to Image Engineering jobs in Texas?

For Image Engineering jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Image Engineering jobs in Texas look for?

The top searched job categories for Image Engineering jobs in Texas are:

What cities in Texas are hiring for Image Engineering jobs?

Cities in Texas with the most Image Engineering job openings:

Image Engineering jobs near you
Infographic showing various Image Engineering job openings in Texas as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $58,673 per year, or $28.2 per hour.

Software Engineering Manager, Wallet Identity

Apple, Inc.

Austin, TX • On-site

Other

Re-posted 10 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Join us in building the future of digital identity! With IDs in Wallet, users can use their IDs in person, in app, and on the web. We build the services that make this possible. Our services sit between Apple Wallet and digital credential issuers like state and national governments. We work at the intersection of distributed systems, cryptography, and ML, implementing cutting-edge identity features while maintaining the highest levels of security and user privacy. We're actively contributing to and shaping the digital identity ecosystem through standards like ISO 18013/23220 and the W3C Digital Credentials API.
We are looking for an experienced engineering manager who is passionate about building high-performing teams, running ML services at scale, and thriving in a fast-paced environment. If you love solving meaningful problems that impact millions of people and defining the technical direction of critical services, we want to hear from you!
Description
As an Engineering Manager on the Wallet Identity Services team, you will lead a group of engineers and technical leads responsible for the services powering liveness detection, face matching, and image quality. You will own the full lifecycle of these ML-powered services - from architecture and development through deployment, monitoring, and on-call operations.
This role sits at the intersection of software engineering, machine learning, and DevOps. You will partner with ML engineers to deploy and operate models at scale, and collaborate closely with the iOS team that builds the on-device experience.
You will define engineering strategy across multiple workstreams, drive operational excellence, and grow both your team and its leaders.
Minimum Qualifications
10+ years of professional software engineering experience building and operating distributed systems at large scale.
5+ years of engineering management experience with a track record of building, growing, and leading high-performing teams.
Experience managing managers or technical leads, with accountability for outcomes across multiple workstreams or sub-teams.
Experience managing the deployment and operation of ML models in production, including model serving, monitoring, and lifecycle management.
Strong understanding of distributed systems fundamentals and trade-offs in consistency, latency, and throughput.
Demonstrated ability to drive operational excellence, including on-call culture, incident management, and reliability practices.
Clear and thoughtful communicator, able to drive consensus on complex technical topics with diverse audiences including cross-functional and geographically distributed teams.
A track record of building influence and healthy relationships within and beyond your immediate team.
Preferred Qualifications
Hands-on software development experience with Java or Kotlin and Spring.
Experience building and operating high-volume REST or gRPC services.
Familiarity with ML infrastructure - model serving, experiment tracking, data pipelines, and A/B testing for models.
Experience with containerization, orchestration, and cloud-native architectures.
Understanding of security, privacy, and cryptography fundamentals.
Experience with databases at scale, both relational and NoSQL.
Experience with workflow orchestration tools.
Domain experience in computer vision or liveness detection.
Familiarity with digital identity standards such as ISO 18013/23220.
Experience using generative AI tools to accelerate software development.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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