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Entry Level Computer Vision Engineer Jobs in Phoenix, AZ

Waabi

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 ...

Waabi

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 ...

Collabera

Entry Level Engineer

Phoenix, AZ

... and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance ... Electrical, Computer or Systems Engineering preferred. Additional Information All your information ...

SynergisticIT

Java Developer with AWS (Remote)

Tempe, AZ

$49.75 - $64.25/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... computer vision, data visualization tools excellent written and verbal communication skills.

SynergisticIT

Junior Java Developer

Peoria, AZ

We are continuously looking for entry-level software programmers, Java Full stack developers ... Computer Vision, data visualization tools Candidates lacking technical skills can research our ...

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All JobsEntry Level Computer Vision Engineer JobsEntry Level Computer Vision Engineer Jobs in Phoenix, AZ

Entry Level Computer Vision Engineer information

See Phoenix, AZ salary details

$48.2K

$120.7K

$136.5K

How much do entry level computer vision engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry level computer vision engineer in Phoenix, AZ is $120,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $130,600.00 per year, depending on experience, location, and employer.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

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

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.
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 are popular job titles related to Entry Level Computer Vision Engineer jobs in Phoenix, AZ? For Entry Level Computer Vision Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Phoenix, AZ look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Phoenix, AZ are:
Entry Level Computer Vision Engineer jobs near you
Computer Vision Camera Systems Internship

Computer Vision Camera Systems Internship

Alphacore Inc

Tempe, AZ • On-site

Internship

Posted 5 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)

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