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Computer Vision Engineer Jobs in Phoenix, AZ (NOW HIRING)

CAD Engineer

Phoenix, AZ · 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 · 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 · 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 ...

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 ...

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 ...

Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains. Experience in prompt engineering, data preprocessing, model fine-tuning, and ...

Senior Machine Learning Scientist

Scottsdale, AZ

$92.20K - $125.90K/yr

... MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages such as Python, C/C ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92.20K - $125.90K/yr

... MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages such as Python, C/C ...

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

Job Summary We are seeking a highly skilled Agentic AI Engineer / Data Scientist to design, develop ... Computer Vision, or Reinforcement Learning Experience with AI observability and evaluation ...

IC CAD Engineer

Chandler, AZ · On-site

$127.10K - $203.40K/yr

Masters in Electrical Engineering or Computer Science plus 10+ years of EDA experience. * User ... Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock ...

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Computer Vision Engineer information

See Phoenix, AZ salary details

$46K

$115.2K

$130.4K

How much do computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision engineer in Phoenix, AZ is $115,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $124,700.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Phoenix, AZ? The most popular types of Computer Vision Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Computer Vision Engineer jobs? Cities near Phoenix, AZ with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Phoenix, AZ as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 83% In-person, 5% Hybrid, and 12% Remote job distribution, with an average salary of $115,231 per year, or $55.4 per hour.
Computer Vision Camera Systems Internship

Computer Vision Camera Systems Internship

Alphacore Inc

Tempe, AZ • On-site

Internship

Posted 14 days ago


Job description

Computer Vision Camera Systems Internship (Alphacore - Tempe, AZ - Onsite)
We're looking for an intern who's equally at home on the optical bench and in a Python
notebook, eager to turn raw sensor data into real-time insight.
Qualifications
• Working toward or holding a degree in Optical Engineering, Electrical Engineering, Robotics, Computer Science, or a closely related field.
• Hands-on experience with camera hardware and basic lab instrumentation.
• Understanding of intrinsic & extrinsic calibration, camera-pose estimation, and radiometric calibration.
• Proficiency in Python or C++; experience deploying code on embedded/edge platforms is a plus. Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems.
• Strong problem-solving skills and the curiosity to dig deep into both hardware and software.
What You'll Do
• Calibrate advanced cameras - derive lens intrinsics, sensor extrinsic, and radiometric response curves.
• Integrate multi-sensor rigs - time-align cameras with IMUs, range finders, and custom electronics, then capture synchronized datasets.
• Build edge pipelines - deploy calibration-informed perception algorithms on embedded CPUs/GPUs for live testing.
• Prototype rapidly in the lab - design fixtures, script data collection, and iterate on hardware-software interactions for next-generation imaging systems.
Other Job Requirements
Due to U.S. export-control (ITAR) regulations, this position is open to U.S. persons only (citizens or lawful permanent residents).
How to Apply
Email your resume, to [email protected] with the subject line "Computer Vision Camera Systems Internship"
About Us
Alphacore designs image sensors from the transistor level up. We craft pixel architectures, tape them out, and turn them into complete camera chips-giving you a front-row seat to semiconductor design flows, optical test benches, and the way manufacturing decisions ripple into imaging performance. Join our tight-knit Tempe team and help push camera technology to its next breakthrough.
Learn more about us
Solutions | Alphacore | Robust High-Performance Microelectronics (alphacoreinc.com)