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Machine Vision Engineer Jobs in Arizona (NOW HIRING)

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine ... machine vision systems. * Develop scalable architectures capable of processing large volumes of ...

Apex Tool Group

Automation Engineer

Nogales, AZ · On-site

This role provides specialized technical expertise in PLC programming, robotics integration, machine vision systems, motion controls, industrial networking, and automated manufacturing equipment.

Airbus Ventures

Automation Engineer

Tempe, AZ · On-site

$70 - $90/hr

This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ... Collaborate with Process Engineers and Manufacturing teams to improve throughput, yield ...

Industrious Ventures

Automation Engineer

Tempe, AZ · On-site

$75 - $95/hr

This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ... Collaborate with Process Engineers and Manufacturing teams to improve throughput, yield ...

Solestial, Inc.

Automation Engineer

Tempe, AZ · On-site

As an Automation Engineer , you will design, develop, and support automated manufacturing equipment ... This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ...

Solestial, Inc.

Automation Engineer

Tempe, AZ · On-site

$85 - $110/hr

This role will focus on integrating motion systems, sensors, robotics, machine vision, safety ... Collaborate with Process Engineers and Manufacturing teams to improve throughput, yield ...

Apex Tool Group, LLC

Automation Engineer

Nogales, AZ · On-site

This role provides specialized technical expertise in PLC programming, robotics integration, machine vision systems, motion controls, industrial networking, and automated manufacturing equipment.

ASM

Snr Engineer, Systems Engineering

Phoenix, AZ · On-site

Job's mission As a Senior Systems Engineer (Mechatronics and Robotics) at ASM, you'll design and ... Your expertise in control systems, machine vision, and servo integration will help us deliver ...

Dexcom Inc.

Sr Hardware Engineer

Arizona City, AZ · On-site

$116.60 - $194.40/hr

We collaborate closely across Quality Engineering, Regulatory, R&D, Equipment Engineering, and ... Leveraging your expertise in PLCs, machine vision systems, automation, and data analytics, you will ...

Bridge Point

Automation Engineer

Waddell, AZ · On-site

Position Summary The Automation Engineer is responsible for developing, implementing ... Machine vision * Ethernet/IP, Profinet, Modbus * AutoCAD Electrical * Industrial networking * MES ...

Bridge Point

Automation Engineer

Waddell, AZ · On-site

Position Summary The Automation Engineer is responsible for developing, implementing ... Machine vision * Ethernet/IP, Profinet, Modbus * AutoCAD Electrical * Industrial networking * MES ...

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All JobsMachine Vision Engineer JobsMachine Vision Engineer Jobs in Arizona

Machine Vision Engineer information

See Arizona salary details

$29.4K

$120K

$180.3K

How much do machine vision engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine vision engineer in Arizona is $119,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

What is a machine vision engineer?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What does a machine vision engineer do?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

What are the key skills and qualifications needed to thrive as a machine vision engineer?

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What are the most commonly searched types of Machine Vision Engineer jobs in Arizona?

The most popular types of Machine Vision Engineer jobs in Arizona are:

What are popular job titles related to Machine Vision Engineer jobs in Arizona?

For Machine Vision Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Vision Engineer jobs in Arizona look for?

The top searched job categories for Machine Vision Engineer jobs in Arizona are:

Machine Vision Engineer jobs near you
Infographic showing various Machine Vision Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $119,998 per year, or $57.7 per hour.

Sr. Machine Learning Engineer

Phoenix, AZ • On-site

Prosum Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Prosum Inc.external

$130K - $150K/yr

Other

Posted 21 days ago

Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

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