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Weekend 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 ...

New

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 ...

New

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 ...

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 ...

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

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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Showing results 1-20

All JobsMachine Vision Engineer JobsWeekend Machine Vision Engineer JobsWeekend Machine Vision Engineer Jobs in Arizona

Weekend Machine Vision Engineer information

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.

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

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

How much do weekend machine vision engineers make?

Weekend machine vision engineers typically earn between $25 and $50 per hour, depending on experience, location, and the complexity of projects. Compensation may also include benefits such as flexible scheduling and opportunities to work with advanced imaging tools and programming languages like Python or C++.

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 cities in Arizona are hiring for Weekend Machine Vision Engineer jobs?

Cities in Arizona with the most Weekend Machine Vision Engineer job openings:

Weekend Machine Vision Engineer jobs near you

Sr. Machine Learning Engineer

Prosum Inc.

Phoenix, AZ • On-site

$130K - $150K/yr

Other

Posted 14 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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