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Entry Level Computer Vision Engineer Jobs in Arizona

PDS Tech Commercial

Engineer CAD CAM

Chandler, AZ · On-site

$54.49/hr

Contract-to-hire opportunity (aligned with Design Engineer 3/4 career path) What You'll Do As a CAD ... vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter ...

Alta E&I

Survey CAD Technician

Tempe, AZ · On-site

Our team delivers a full spectrum of services - civil engineering, surveying, geotechnical and ... Many of our leaders began their journey in entry level positions, and worked their way up into ...

Alta E&I

Survey CAD Technician

Tucson, AZ · On-site

Our team delivers a full spectrum of services - civil engineering, surveying, geotechnical and ... Many of our leaders began their journey in entry level positions, and worked their way up into ...

Trilon

Entry-Level Bridge CAD Technician

Phoenix, AZ

$23 - $33/hr

Collaborate with engineers to ensure that the drawings are correct and represent the design ... Medical, dental, vision, life, and disability insurance * Generous paid time off * 401(k): 50 ...

Arete

Scientist

Tucson, AZ

Demonstrated experience with signal processing, image processing, and/or computer vision ... Algorithm Developer, Location: Tucson, AZ - 85712

Arete Associates

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

Demonstrated experience with signal processing, image processing, and/or computer vision ... Parallel programming experience (threads, MPI, CUDA, etc.) * Active Secret Clearance The salary ...

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Entry Level Computer Vision Engineer information

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$45.2K

$113.2K

$128.1K

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

As of Jul 9, 2026, the average yearly pay for entry level 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 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 Arizona? The most popular types of Computer Vision Engineer jobs in Arizona are:
What are popular job titles related to Entry Level Computer Vision Engineer jobs in Arizona? For Entry Level Computer Vision Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Arizona look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Computer Vision Engineer jobs? Cities in Arizona with the most Entry Level Computer Vision Engineer job openings:
Entry Level Computer Vision Engineer jobs near you
Postdoctoral Research Associate, Electrical and Computer Engineering

Postdoctoral Research Associate, Electrical and Computer Engineering

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 24 days ago

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

338th of 546 rated colleges and universities

Job description

Postdoctoral Research Associate, Electrical and Computer Engineering
Posting Number
req24051
Department
Electrical and Computer Engr
Department Website Link
https://ece.engineering.arizona.edu/
Location
Tucson Campus
Address
1230 E. Speedway Blvd., Tucson, AZ 85721 USA
Position Highlights
The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to work with Dr. Ehsan Azimi.
We invite qualified candidates to join our group and participate in cutting-edge research. The chosen candidate will advance research at the intersection of robotics, control & prototyping, and AI/ML. The Postdoc will design, implement, and evaluate robotic systems - including real-time control stacks - and develop learning-enabled perception, planning, and vision-language model (VLM) pipelines. The role includes disseminating results via publications, patents, demos, and grants, in addition to mentoring students and contributing to course modules/workshops in robotics and related topics.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Lead, design, build and test cycles for robotic platforms and experimental rigs; develop real-time control (e.g., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking.
  • Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS 2, RT frameworks, Unity/Unreal integration as needed); implement data pipelines, simulation, and CI/testing; maintain reproductible artifacts and documentation.
  • Mentor undergraduate and graduate students; develop short course modules and/or run workshops in Robotics/AI/Control; support inclusive team culture and lab best practices.
  • Lead and co-author journal/conferencepapers; prepare manuscripts for publication in peer-reviewed journals; createcompelling presentations/demos and contribute to IP (invention disclosures andpatents); present research at national and international conferences.
  • Contribute to proposaldevelopment and grant writing (including preliminary data, methods, budgetstext); prepare progress reports, and coordination with internal/externalcollaborators; interface with sponsors where applicable.
  • Foster collaborationswithin the Department, with other units across the University, and with teammembers at other institutes.
  • Participate andcontribute to meetings with industry, academia and sponsors.
  • Additional duties as assigned.

Knowledge, Skills, and Abilities
  • Strong analysisskills, research, and technical writing skills.
  • Ability to communicateprofessionally in a clear, concise manner orally and in writing.
  • Knowledge of prototyping, specifically control (PID, MPC, optimal/robust, learning-augmented); perception &planning; sensor fusion; calibration; system identification.
  • Programming skills, including C++,Python, C#; ROS/ROS 2; Git; Linux; build systems (CMake);real-time/latency-aware coding; simulation (Gazebo/Isaac/Unity/Unreal asapplicable).
  • Knowledge of experimental design, statistics, ablation studies, replicable pipelines,technical writing.
  • Ability to create clear presentations and use strong interpersonal skills with a collaborativemindset; effective mentoring.

Minimum Qualifications
  • PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field.
  • Must have PhD conferred upon hire.

Preferred Qualifications
  • Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control.
  • Experience in computer vision, multimodal perception, or foundation models (VLMs/LLMs) applied to robotics.
  • Track record of patent contributions and/or technology transfer.
  • Experience preparing grants (NSF/NIH/DoD/industry) and coordinating collaborative deliverables.
  • Prior experience mentoring/teaching, curriculum or workshop development.
  • Experience with safety standards for robotics labs and human-robot interaction studies.
  • Experience with CUDA/accelerators; optimization; SLAM; tactile/force control; AR/XR interfaces; Unity/C# for robotics visualization; DevOps/containers.
  • Experience with AI/ML: Deep learning for vision/perception; VLMs and LLM tooling; dataset curation; evaluation/benchmarks; basic MLOps.

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.00
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines-Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Ehsan Azimi
eazimi@arizona.edu
Open Date
10/6/2025
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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