2

Remote Computer Vision Engineer Jobs in Arizona (NOW HIRING)

CAD Engineer

Phoenix, AZ ยท On-site +1

$60K - $80K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you ...

Research Engineer

Phoenix, AZ ยท On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Research Engineer

Phoenix, AZ ยท On-site +1

$122K - $215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Electrical Engineer (PE)-Remote

Tempe, AZ ยท On-site +1

$120K - $170K/yr

... Engineer (PE) to join our Tempe, Arizona office. (This job can be remote.) Essential Duties and ... Vision Plan * Dental Plan * Group Life Insurance * Short Term Disability * Long Term Disability

Field Applications Engineer

Yuma, AZ ยท On-site +1

$74K - $84K/yr

Provides specialized technical consultation and remote support, independently determining the ... Bachelor's Degree in Engineering, Computer Science, or Mathematics, or minimum of four (4) years of ...

Senior Software Engineer, Auto Labelling

Phoenix, AZ ยท On-site +1

$170K - $220K/yr

... Engineers working on building a cutting-edge offline perception and auto-labelling system ... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale ...

next page

Showing results 1-20

People also search for

Remote Computer Vision Engineer information

See Arizona salary details

$45.2K

$113.2K

$128.1K

How much do remote computer vision engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote computer vision engineer in Arizona is $113,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $122,500.00 per year, depending on experience, location, and employer.

What is a Remote Computer Vision Engineer job?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Computer Vision Engineer position, and why are they important?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.
What are the most commonly searched types of Computer Vision Engineer jobs in Arizona? The most popular types of Computer Vision Engineer jobs in Arizona are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Arizona? For Remote Computer Vision Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Arizona look for? The top searched job categories for Remote Computer Vision Engineer jobs in Arizona are:
Infographic showing various Remote Computer Vision Engineer job openings in Arizona as of May 2026, with employment types broken down into 2% As Needed, 60% Full Time, 33% Part Time, 3% Contract, and 2% Nights. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $113,239 per year, or $54.4 per hour.
CAD Engineer

CAD Engineer

UVeye

Phoenix, AZ โ€ข On-site, Remote

$60K - $80K/yr

Full-time

Posted 10 days ago


Job description

Description
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.
With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of 250+ employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are seeking an experienced CAD Engineer to join the US Implementation Team. In this role, you will design customer site layouts that enable the successful deployment of UVeye systems across the United States. You will work closely with implementation managers, customers, and internal stakeholders to translate real-world site requirements into accurate CAD models. This is a high-impact role in a fast-growing environment, requiring strong technical expertise, problem-solving skills, and the ability to work cross-functionally to support customer deployments.
A day in the life and how you'll make an impact:
  • Design and develop high-quality 2D and 3D CAD models for customer site implementations.
  • Configure, deploy, maintain, and upgrade CAD models to support installation projects.
  • Create designs that meet requirements for feasibility, performance, cost, quality, safety, and timing.
  • Ensure all engineering work complies with company design standards, safety guidelines, environmental regulations, and quality procedures.
  • Collaborate with Implementation Managers, leadership, and cross-functional teams to support installation timelines and project goals.
  • Communicate with customers to gather critical design requirements and clarify site specifications.
  • Maintain accurate design documentation and project updates within CRM systems.
  • Revise and refine CAD models based on feedback from internal stakeholders and clients.
  • Identify design limitations, assumptions, and solutions during the development process.
  • Support the implementation and improvement of CAD engineering tools, workflows, and systems.
  • Stay current on advancements in materials, software technologies, and CAD best practices.
  • Contribute to the continuous improvement of internal processes and design standards.

Requirements
  • Associate's degree (2-year) in Engineering, Drafting, or a related field preferred
  • Bachelor's degree or relevant technical certifications a plus
  • 3+ years of experience using CAD software in a professional environment
  • Strong ability to visualize and design in three dimensions
  • Excellent organizational skills and attention to detail
  • Experience working within CRM systems (Salesforce, Zendesk, or similar)
  • Strong written and verbal communication and collaboration skills
  • Ability to work both independently and as part of a team
  • Comfortable managing complex projects and seeing them through to completion
  • Ability to sit for extended periods while working with design software
  • Ability to meet project timelines and deliver high-quality designs with urgency
  • Comfortable working in a fast-paced, evolving startup environment
  • Ability to incorporate feedback quickly and iterate on designs efficiently
  • Commitment to continuous learning and professional development

Compensation:
UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The annual base salary range for this position is $60,000 - $80,000.
Why UVeye:
  • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
  • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
  • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Check out our Life at UVeye page to learn more about the employee experience.
UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.