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Temporary Embedded Machine Learning Jobs in Arizona

Advantest

Thermal Controls R&D Engineer

Chandler, AZ · On-site

$81K - $105K/yr

Support development of digital twins and predictive maintenance strategies using machine learning ... Hands-on experience with sensors, actuators, and embedded control hardware. * Excellent analytical ...

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Raytheon

Software Engineer II

Tucson, AZ · On-site

$90K - $124K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Raytheon

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Ability to obtain ...

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All JobsTemporary Embedded Machine Learning JobsTemporary Embedded Machine Learning Jobs in Arizona

Temporary Embedded Machine Learning information

What is the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?

AspectTemporary Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant degrees in CS, EE, or data science; certifications in ML or embedded systemsDegrees in CS, EE; certifications in embedded systems or software development
Work EnvironmentProject-based, often in tech or manufacturing industries, with focus on ML integrationDesigning, developing, and testing embedded software in various industries like automotive, IoT
Industry UsageUsed in AI-driven embedded systems, IoT devices, and smart gadgetsUsed in consumer electronics, automotive, industrial automation

Temporary Embedded Machine Learning specialists focus on integrating machine learning models into embedded devices, often on a project basis. Embedded Software Engineers develop and maintain the software that runs directly on hardware. While both roles require embedded systems knowledge, the ML role emphasizes AI integration, whereas the embedded software engineer focuses on software development and system stability.

What are the most commonly searched types of Embedded Machine Learning jobs in Arizona? The most popular types of Embedded Machine Learning jobs in Arizona are:
Temporary Embedded Machine Learning jobs near you
Infographic showing various Temporary Embedded Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Temporary. Highlights an 100% In-person job distribution.

Thermal Controls R&D Engineer

Advantest

Chandler, AZ • On-site

$81K - $105K/yr

Full-time

Posted 17 days ago

Job description

Advantest America is a leading provider of semiconductor test and measurement solutions. As part of our commitment to innovation, we are expanding our Global Thermal R&D Team to develop advanced thermal control strategies for next-generation semiconductor test environments.
We are seeking a highly skilled Thermal Controls R&D Engineer with expertise in control systems engineering, including both classical control theory and modern AI/ML-based approaches. This role involves designing, modeling, and implementing control algorithms for complex thermal systems, ensuring precise temperature regulation under dynamic conditions. The ideal candidate will have strong practical experience combined with simulation and analytical skills to drive innovation in thermal management.
Essential Duties & Responsibilities
  • Design and implement control algorithms for thermal systems, including heaters, chillers, and two-phase cooling loops.
  • Develop simulation models for thermal dynamics and control performance using tools such as MATLAB/Simulink or equivalent.
  • Apply classical control theory (PID, state-space, adaptive control) and advanced techniques (AI/ML-based predictive control) to optimize system response.
  • Integrate control systems into hardware platforms and validate performance through experimental testing.
  • Collaborate with cross-functional teams to ensure seamless integration of thermal controls into semiconductor test equipment.
  • Analyze system data to improve control strategies and enhance reliability, efficiency, and robustness.
  • Support development of digital twins and predictive maintenance strategies using machine learning.

Why Join Us?
This is a rare opportunity to be part of a global initiative shaping the future of thermal technologies in semiconductor testing. You'll work with cutting-edge tools and collaborate with some of the brightest minds in the industry, driving innovation that directly impacts next-generation test solutions.
Requirements, Education & Skills
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Control Systems, or related field; Master's degree preferred.
  • 5+ years of experience in control systems engineering, preferably in thermal or process control applications.
  • Strong knowledge of classical control theory and practical implementation of PID and advanced controllers.
  • Experience with AI/ML techniques for predictive control and optimization.
  • Proficiency in simulation tools (MATLAB/Simulink, Modelica, or similar).
  • Familiarity with thermal systems, including heaters, chillers, and phase-change cooling technologies.
  • Hands-on experience with sensors, actuators, and embedded control hardware.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively in global, cross-functional teams.
  • Willingness to travel domestically and internationally (up to 10%).
  • On-site role based at our Lake Forest, CA facility.

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