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Sensor Jobs in Phoenix, AZ (NOW HIRING)

IAM Engineer - Phoenix, Az

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll architect and support robust pipelines for sensor data analysis, shaping ML systems that deliver real-time inference and anomaly detection on resource-constrained hardware. Collaborating ...

Calibrate and verify sensor stacks (LiDAR, camera, radar, IMU, GNSS) and validate sensor fusion outputs. * Participate in track testing, closed-course evaluations, and structured public-road drives ...

Field Tech II

Phoenix, AZ · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will oversee critical aspects of customer deployments including installing and configuring IoT sensor systems, ensuring wireless network connectivity across job sites, troubleshooting technical ...

Calibrate and verify sensor stacks (LiDAR, camera, radar, IMU, GNSS) and validate sensor fusion outputs. * Participate in track testing, closed-course evaluations, and structured public-road drives ...

Calibrate and verify sensor stacks (LiDAR, camera, radar, IMU, GNSS) and validate sensor fusion outputs. * Participate in track testing, closed-course evaluations, and structured public-road drives ...

Field Tech II

Phoenix, AZ · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will oversee critical aspects of customer deployments including installing and configuring IoT sensor systems, ensuring wireless network connectivity across job sites, troubleshooting technical ...

Systems Engineer II - Signal Processing

Phoenix, AZ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Used across our products and new business initiatives, signal processing algorithms extract and exploit sensor signals to be used for calibrating and de-noising raw sensor data; detecting, acquiring ...

Job's mission We are seeking a highly motivated Engineer II, Systems Engineering to the Sensor Technology Group . This role combines deep technical expertise with project leadership responsibilities ...

Job's mission We are seeking a highly motivated Engineer II, Systems Engineering to the Sensor Technology Group . This role combines deep technical expertise with project leadership responsibilities ...

Stocker - Store

Gilbert, AZ

$13.75 - $17/hr

Overview Stockers are to receive, price, sensor (if applicable) and inspect freight. Stockers must be proficient in all aspects of the Cavender's Boot City stocking system, and knowledgeable of all ...

Stocker - Store

Gilbert, AZ · On-site

$13.75 - $17/hr

Overview Stockers are to receive, price, sensor (if applicable) and inspect freight. Stockers must be proficient in all aspects of the Cavender's Boot City stocking system, and knowledgeable of all ...

Showing results 21-40

Sensor information

See Phoenix, AZ salary details

$14

$29

$45

How much do sensor jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for sensor in Phoenix, AZ is $29.51, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $34.13 per hour, depending on experience, location, and employer.

What is a sensor?

A Sensor job typically involves working with sensor technologies to collect, analyze, and interpret data for various applications. This role may include designing, developing, testing, and maintaining sensors used in industries like automotive, healthcare, manufacturing, and environmental monitoring. Responsibilities often involve programming, signal processing, calibration, and integration with other systems. Sensor professionals may work as engineers, technicians, or researchers focused on improving accuracy and reliability. The job requires knowledge of electronics, physics, and data analysis tools.

What are the key skills and qualifications needed to thrive in the sensor position, and why are they important?

To thrive as a Sensor in an industrial or scientific setting, you need strong analytical and observational skills, attention to detail, and familiarity with data collection or quality assessment methodologies. Typically, Sensors use specialized measuring instruments, data logging software, and may require certifications relevant to safety or technical standards. Strong communication, teamwork, and problem-solving abilities help Sensors excel, especially when relaying findings or collaborating on process improvements. These skills are vital for ensuring accurate and reliable monitoring, supporting operational efficiency, and identifying potential issues promptly.

What are some common challenges sensors face on the job?

Sensors often work in environments where maintaining accuracy and consistency under time constraints can be a challenge, especially when multiple samples need to be analyzed quickly. Adapting to new technologies, processes, or strict regulatory standards may also require ongoing training and attention. Additionally, Sensors must remain vigilant for minor anomalies, as small errors can impact overall quality or safety. However, these challenges are balanced by established procedures, team support, and opportunities to develop specialized technical expertise over time.

What are popular job titles related to Sensor jobs in Phoenix, AZ?

For Sensor jobs in Phoenix, AZ, the most frequently searched job titles are:

Infographic showing various Sensor job openings in Phoenix, AZ as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $61,390 per year, or $29.5 per hour.

IAM Engineer - Phoenix, Az

Motion Recruitment

Phoenix, AZ • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description


A leading financial services firm in Chandler, AZ is seeking a Senior Machine Learning Engineer to join their technology innovation team. In this position, you’ll be at the forefront of building state-of-the-art machine learning solutions, taking ownership of projects from the design phase through to on-device deployment.
You’ll architect and support robust pipelines for sensor data analysis, shaping ML systems that deliver real-time inference and anomaly detection on resource-constrained hardware. Collaborating closely with hardware, firmware, and platform teams, you’ll be responsible for seamlessly integrating and validating intelligent features within embedded environments. This role will involve building and automating MLOps solutions, overseeing experiment management, and ensuring scalable and compliant machine learning lifecycle practices suited to regulatory demands.
Key Responsibilities
  • Lead the implementation of sensor data pipelines—from requirements through real-world integration
  • Design, train, optimize, and deploy ML models specifically for edge or embedded platforms, focusing on performance and reliability
  • Combine deep experience in Python with one or more frameworks (PyTorch, TensorFlow) to deliver production-ready models
  • Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications
  • Develop infrastructure and automations for experiment tracking, continuous training, evaluation, and secure model deployment
  • Maintain full documentation for all aspects of the ML lifecycle to enable audit, regulatory compliance, and operational excellence
Required Skills & Experience
  • Extensive experience working with sensor and streaming data in production settings
  • Expertise in Python and at least one major ML library (PyTorch, TensorFlow, or alternatives)
  • Practical experience deploying models on edge systems (e.g., TensorRT, ONNX, TFLite, or similar technologies)
  • Solid engineering background with proficiency in C or C++ for embedded systems collaboration
  • Familiarity with MLOps and model versioning, preferably in a regulated environment
Preferred Qualifications
  • 5+ years hands-on ML development, with significant experience in real-time or embedded applications
  • Background working on medical, wearable, or robotics platforms highly desirable
  • Demonstrated success working in cross-functional teams with hardware/firmware integration
  • Experience in high-growth companies or small teams
  • Bachelor’s or higher in Computer Science, Engineering, or a related field
Daily Activities
  • This role is hands-on and project-focused, where you’ll design new ML workflows, transform raw data, and continually iterate on model performance
  • You’ll support firmware engineers by ensuring seamless embedding and runtime validation of ML features
  • Work with DevOps and MLOps teams to automate deployments and create scalable, reliable ML solutions
  • Troubleshoot model issues, and refine algorithms for speed, accuracy, and compliance
Compensation & Benefits
Eligible for performance-based bonus or commission
Comprehensive benefits package including:
  • Health, dental, and vision insurance
  • Paid holidays and vacation
  • 401(k) retirement plan with company match (if applicable)
Applicants must have current authorization to work in the US on a full-time basis, now and in the future