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Embedded Machine Learning Internship Jobs in Arizona

Asure Software

Associate Software Engineer

Phoenix, AZ · On-site

Exposure to AI and machine learning concepts through coursework, certifications, projects, hackathons, or internships. * Experience using AI-assisted development tools or cloud-based AI services.

New

Viavi Solutions

Wireless Network Lab Intern

Chandler, AZ

$14.75 - $19.75/hr

Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch ... Prior industry research internship experience. If you have what it takes to push boundaries and ...

Viavi Solutions

Wireless Network Lab Intern

Chandler, AZ · On-site

$14.75 - $19.75/hr

Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch ... Prior industry research internship experience. If you have what it takes to push boundaries and ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

Design and maintain data pipelines for machine learning model training and inference. Architecture ... Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a ...

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

Design and maintain data pipelines for machine learning model training and inference. Architecture ... Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a ...

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All JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Arizona

Embedded Machine Learning Internship information

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Arizona as of June 2026, with employment types broken down into 1% Internship, 40% Full Time, 56% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Embedded Firmware Engineer - PC Audio

Embedded Firmware Engineer - PC Audio

Cirrus Logic

Chandler, AZ • On-site

$101K - $138K/yr

Full-time

Posted 17 days ago

Job description

For over four decades, Cirrus Logic has been propelled by the top engineers in mixed-signal processing. Our rockstar team thrives on solving complex challenges with innovative end-user solutions for the world's top consumer brands. Cirrus Logic is also known for its award-winning culture, which was built on a foundation of inclusion and fairness, meaningful community engagement, and delivering enjoyable employee experiences at every turn. But we couldn't do it without our extraordinary workforce - and that's where you come in. Join our team and help us continue to make Cirrus Logic an exceptional place to grow your career!
Cirrus Logic is seeking a candidate for our audio solutions development team. Candidate will be using MATLAB, Python and real-time DSP/firmware development tools to design and develop leading-edge audio processing software targeted for Cirrus Logic ICs. Candidate must be able to work equally well in either independent or team efforts. Candidate must be insightful and highly effective at communicating ideas and resolving problems.
Responsibilities
  • Develop and test real-time embedded firmware for Cirrus Logic ICs.
  • Build host-side applications to test and demonstrate embedded firmware.
  • Support customer demonstrations, integration and field engineering efforts.
  • Real-time testing and analysis of audio processing software.
  • Participate in reviews of own or others' code and documentation

Required Skills and Qualifications
  • BS or MS in Computer Science, Electrical Engineering, or related field.
  • 5+ years of experience in real-time embedded development.
  • Experience developing and documenting signal processing algorithms for DSP platforms.
  • Advanced proficiency in C programming and solid Python skills.
  • Experience using MATLAB for algorithm development, prototyping and testing.
  • Excellent communication and documentation abilities.

Preferred Skills and Qualifications
  • Experience with classical machine learning techniques and modern neural network architectures for audio processing.
  • Experience with production software in a Continuous Integration (CI) environment.
  • Familiarity with Git, Visual Studio, Visual Studio Code, and PyTorch.
  • Knowledge of debugging tools (JTAG, SWD, GDB) and peripheral interfaces (SPI, I2C, etc.).
  • Experience with audio related electronics (codecs, filters, amplifiers, etc.)

Export control restrictions based upon applicable laws and regulations would prohibit candidates who are nationals of certain embargoed countries from working in this position without Cirrus Logic first obtaining an export license. Candidates for this role must be able to access technical data without a requirement for an export license. We are unable to sponsor or obtain export licenses for this role.
Cirrus Logic strives to select the best qualified applicant for any opening. Different approaches, ideas and points of view are both valued and respected. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, national origin, age, protected veteran or disabled status, genetic information, or any other classification protected by applicable law.

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