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Embedded Machine Learning Jobs in Arizona (NOW HIRING)

Software Engineer II

Tucson, AZ

$83.80K - $114.80K/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 ...

Software Engineer II

Tucson, AZ

$83.90K - $114.90K/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 ...

Software Engineer II with Security Clearance

Tucson, AZ · On-site

$90.50K - $124K/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 ...

Software Engineer II

Tucson, AZ

$83.80K - $114.80K/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 ...

Software Engineer II

Tucson, AZ

$83.80K - $114.80K/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 ...

Software Engineer II

Tucson, AZ

$93.50K - $128K/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 ...

Software Engineer II

Tucson, AZ

$95.20K - $130.30K/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 ...

Software Engineer II

Tucson, AZ

$95.10K - $130.20K/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 ...

Software Engineer II

Tucson, AZ

$83.80K - $114.80K/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 ...

Software Engineer II

Tucson, AZ

$96.70K - $132.50K/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 ...

Software Engineer II

Tucson, AZ

$90.60K - $124.10K/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 ...

Software Engineer II

Tucson, AZ

$87.30K - $119.50K/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 ...

Software Engineer II

Tucson, AZ

$84.10K - $115.20K/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 ...

Software Engineer II

Tucson, AZ

$92.20K - $126.20K/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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Showing results 1-20

Embedded Machine Learning information

See Arizona salary details

$65.2K

$142.9K

$162.1K

How much do embedded machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for embedded machine learning in Arizona is $142,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,200.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

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

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.
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:
What cities in Arizona are hiring for Embedded Machine Learning jobs? Cities in Arizona with the most Embedded Machine Learning job openings:
Infographic showing various Embedded Machine Learning job openings in Arizona as of May 2026, with employment types broken down into 1% Locum Tenens, 3% Internship, 66% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $142,936 per year, or $68.7 per hour.
Assistant/Associate Professor of Computer Engineering (NTT), Prescott Campus

Assistant/Associate Professor of Computer Engineering (NTT), Prescott Campus

Embry-Riddle Aeronautical University

Prescott, AZ • On-site

Full-time

Posted 28 days ago


Embry-Riddle Aeronautical University rating

6.9

Company rating: 6.9 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

385th of 532 rated colleges and universities


Job description

Job Description
The Opportunity
The Computer, Electrical, and Software Engineering Department at Embry-Riddle Aeronautical University in Prescott, AZ invites applications for a non-tenure track faculty position as an Assistant or Associate Professor of Computer Engineering for the 2026-2027 Academic Year.
Interest and ability to teach introductory undergraduate computer engineering courses and laboratories is essential, and experience with aviation/aerospace applications is highly desirable. Quality teaching and laboratory instruction is the primary responsibility for this position. Additional responsibilities of the position may include recruitment of students, advising and mentoring undergraduate students, course and program assessment and development, and university/community service. Excellent interpersonal skills, written and oral communications skills, and a strong command of the English language are required.
About the Department of Computer, Electrical, and Software Engineering
The Computer, Electrical, and Software Engineering Department is a part of the College of Engineering. The College of Engineering also houses the Aerospace Engineering Department and Mechanical Engineering Department. A Cyber Intelligence and Security degree program in the College of Business, Security and Intelligence includes an isolated cyber and computer forensics lab that offers collaborative project opportunities. A Simulation Science, Games and Animation degree program in the College of Arts and Sciences includes a lab supporting VR/AR/XR development, motion and face capture, and welcomes collaboration. There are many other opportunities for inter-departmental teaching and research. Our fully accredited undergraduate engineering programs place students in aerospace companies and major university graduate schools across the nation.
Embry-Riddle: A Global Leader in Aviation and Aerospace
With vibrant campuses in Daytona Beach, FL, and Prescott, AZ-along with a Worldwide network spanning roughly 120 global locations-Embry-Riddle proudly stands as the world's largest aviation and aerospace university. Now celebrating our 100th year, we continue to lead innovation in STEM education, serving more than 30,000 students worldwide. Our cutting-edge programs in Applied Science, Aviation, Business, Technology, Engineering, Safety, Security, and Space prepare the next generation of leaders shaping the future of flight and beyond.
Click here to take a virtual tour of the Prescott Campus!
Perks Await You at Embry-Riddle!
  • Generous Time Off: Enjoy 9+ paid holidays, including the day after Thanksgiving and the week between Christmas Eve and New Year's Day.
  • Tuition Coverage: Get 100% tuition coverage for yourself for one undergraduate and one graduate degree, and discounted rates for your spouse and dependent children up to age 26.
  • Retirement Contributions: ERAU contributes 6% of your base salary to your retirement plan and offers a 4% matching contribution - with no vesting period.

Qualifications
Required Education and Qualifications:
The successful candidate should have an earned doctorate in computer engineering or a related field. A MS degree in computer engineering or equivalent along with extensive industry experience is also acceptable. Preferred areas of expertise for this position include Embedded artificial intelligence (Embedded AI), Chips Design, Cybersecurity, Micro-controller Board Design, Robotics and Machine Learning. Significant industry, entrepreneurial and/or teaching experience would strengthen a candidate's credentials, but recent graduates are also encouraged to apply.
Application process/requirements
Priority consideration will be given to candidates who have prospective research contribution to the Center for Aerospace Resilience, one of the University's established Centers of Excellence. Review of applications will continue until the position is filled.
To submit your application for this opportunity, please visit the Embry-Riddle Career Site and search for requisition number R311259. Please attach all relevant materials to your application when you apply online. Complete submissions include:
  • Letter of application addressing all of the above-required qualifications
  • Statements of (1) research; and (2) teaching philosophy and experience
  • Current CV
  • Unofficial transcripts
  • Contact information for at least three professional references (please note that references may be contacted as part of the interview/screening process)

Current Embry-Riddle employees: Please apply directly through the ERAU Employee Hub Central application within Workday.
Embry-Riddle is committed to fostering a workplace where all individuals are valued and respected. We strive to ensure that all faculty, staff, and students are treated fairly and provided equal opportunities for employment, advancement, compensation, training, and other benefits of employment. Embry-Riddle makes employment decisions - including hiring, promotions, compensation, and other terms of employment - based on individual merit, qualifications, and abilities. Embry Riddle is strongly opposed to discrimination and harassment, and such behavior is prohibited by university policy. Embry Riddle does not discriminate on the basis of race, color, national origin, sex, disability, veteran status, predisposing genetic characteristics, age, religion, or pregnancy status, or any other status protected by federal, state, or local law, in its employment, educational programs, admissions policies, financial aid, or other school-administered programs or activities. For further information, please visit our website.
Embry-Riddle is not seeking assistance from staffing or recruitment agencies. All agencies are directed to contact eraujobs@erau.edu and should not reach out to hiring managers or staff.

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