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Ai Hardware Engineer Jobs in Utah (NOW HIRING)

AI Engineer IV (Embedded Software)

Lehi, UT · On-site

$123.40K - $162.40K/yr

AI Engineer IV (Embedded Software) Autonomous Solutions Inc builds autonomous systems for fleets ... Deploy AI models onto constrained hardware and embedded platforms. * Optimize compute, memory, and ...

AI Engineer IV (Embedded Software)

Lehi, UT · On-site

$123.40K - $162.40K/yr

As an AI Engineer IV (Embedded Software) , you will deploy, optimize, and maintain AI capabilities ... Deploy AI models onto constrained hardware and embedded platforms. * Optimize compute, memory, and ...

Software Engineer - Full-Time, On-Site Location: Downtown Salt Lake City, UTCompany: Altitude AI ... AI technology that interfaces directly with real-world hardware systems. Join our team of high ...

Collaborate with cross-functional teams to integrate DSP algorithms into audio and vision AI ... Troubleshoot and debug firmware and hardware issues related to DSP and firmware functionality.

Senior Software Engineer (AI team)

Lehi, UT · On-site

$115K - $151.60K/yr

What is a day in the life of a Senior Software Engineer (AI team)? * Architect, build, and deploy ... hardware and education stipend. The team also offers a flexible work schedule with robust remote ...

Senior Software Engineer (AI team)

Lehi, UT

$115K - $151.60K/yr

What is a day in the life of a Senior Software Engineer (AI team)? * Architect, build, and deploy ... hardware and education stipend. The team also offers a flexible work schedule with robust remote ...

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Ai Hardware Engineer information

See Utah salary details

$46.4K

$133.1K

$178.9K

How much do ai hardware engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for ai hardware engineer in Utah is $133,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $148,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Hardware Engineer, and why are they important?

To thrive as an AI Hardware Engineer, you need strong foundations in computer engineering, digital logic design, and knowledge of machine learning algorithms, typically supported by a degree in electrical engineering or computer engineering. Familiarity with hardware description languages (such as Verilog or VHDL), FPGA/ASIC development tools, and experience with simulation and debugging systems are essential. Problem-solving abilities, attention to detail, and effective teamwork are standout soft skills for this role. These skills are crucial for creating efficient, reliable AI hardware solutions and collaborating across multidisciplinary teams to advance cutting-edge technologies.

How do AI Hardware Engineers typically collaborate with software and data teams during the development process?

AI Hardware Engineers work closely with software developers and data scientists to ensure that hardware architectures are optimized for specific AI workloads. Collaboration often involves regular meetings to discuss performance requirements, compatibility challenges, and customizations needed for machine learning models. By maintaining open communication channels, hardware engineers can adapt designs based on feedback from software and data teams, ensuring seamless integration and optimal system performance.

What are AI Hardware Engineers?

AI Hardware Engineers are professionals who design, develop, and optimize computer hardware systems specifically for artificial intelligence applications. Their work involves creating specialized processors, such as GPUs, TPUs, or custom chips, that accelerate machine learning tasks and handle large-scale data processing efficiently. They collaborate with software engineers to ensure hardware and AI models work seamlessly together, improving performance, power efficiency, and scalability of AI systems. AI Hardware Engineers play a crucial role in advancing technologies used in data centers, autonomous vehicles, robotics, and edge devices.

What is the difference between Ai Hardware Engineer vs AI Software Engineer?

AspectAi Hardware EngineerAI Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware design and programmingBachelor's or higher in Computer Science, Software Engineering, or related; proficiency in programming languages and AI frameworks
Work EnvironmentDesigning, testing, and developing AI hardware components in labs or manufacturing settingsDeveloping AI algorithms and applications in software development environments
Employer & Industry UsageTech companies, hardware manufacturers, research labsSoftware firms, tech startups, AI research organizations

While both roles focus on AI, Ai Hardware Engineers specialize in creating the physical components that enable AI systems, whereas AI Software Engineers develop the algorithms and software that run on hardware platforms. Understanding these differences helps job seekers target the right roles based on their skills and interests.

What are popular job titles related to Ai Hardware Engineer jobs in Utah? For Ai Hardware Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Ai Hardware Engineer jobs? Cities in Utah with the most Ai Hardware Engineer job openings:
Infographic showing various Ai Hardware Engineer job openings in Utah as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,124 per year, or $64 per hour.
Assistant Professor in AI Hardware

Assistant Professor in AI Hardware

University of Utah

Salt Lake City, UT • On-site

Full-time

Retirement

Posted 12 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

327th of 528 rated colleges and universities


Job description

Posting Details
The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.
Position Information
Proposed Faculty Rank
Assistant Professor
Department
00065 - Elect & Computer Engineering
City
Salt Lake City, UT
Track
Tenure Track
New Position to Begin
1 Jul 2026
Details
The Department of Electrical and Computer Engineering at the University of Utah seeks faculty candidates who can be world-class leaders in areas at the crossroads of Next Generation Electronics, Circuits, Architectures and Design Automation for Artificial Intelligence (AI) and applications. The department intends for fill one opening for a tenure-track Assistant Professor level. The department has an established research record in many of these areas, and are focused on further strengthening the expertise towards AI applications.
Areas of interest include but are not limited to:
• VLSI circuits and architectures for next generation AI applications, including hardware accelerators
• Testing, Design-for-Test and Verification of AI hardware
• Use of AI techniques in synthesis, test and verification of digital and analog systems
• CMOS & post-CMOS electronics and integrated optical technologies for AI systems
• Devices, Circuits and architectures that address the massive data transfer (memory wall) challenges in AI systems of the future
Exceptional candidates with expertise in related areas, as well as outstanding candidates in any area, are encouraged to apply. Candidates must have a demonstrated track record of high-impact research as evidenced by scholarly publications, and must exhibit strong potential (assistant rank) or an established record (higher rank) of extramural funding and teaching effectiveness. Applicants are expected to have a Ph.D. with research experience in these or closely aligned fields. Candidates with industrial experience are also encouraged to apply. Evidence should be provided of accomplishments and experiences that have prepared the applicant for diverse constituents in research, teaching and service. Candidates are expected to establish an independent extramurally supported research program, conduct collaborative research, be engaged in service activities, and teach electrical and computer engineering courses at the undergraduate and graduate levels.
All candidates must have strong aptitude for effective teaching in core and specialized areas of our curriculum at the undergraduate and graduate levels. Faculty responsibilities include developing and maintaining an internationally recognized research program, effective classroom teaching at the undergraduate and graduate levels, and service within the University and within professional communities.
Please include a CV, names and contact information for at least three professional references, a research statement, a teaching statement, and the cover letter. Applications will be reviewed upon receipt, and will be accepted until the position is filled, preferably in Spring 2026. Applicants must hold a PhD in ECE or a closely related discipline by the time of appointment.
The Department has been growing steadily in the past two decades, has a strong focus on world-class research, and currently has >40 faculty members and >115 doctoral students enrolled. Current ECE faculty members have founded or co-founded several successful companies; the University has been consistently ranked as one of the top schools for startup creation. The Salt Lake City metro area is a global and diverse (by any social metric) metropolitan city with 1.2 million residents and an easy-access international airport. The metro area and state of Utah more broadly boast an outstanding quality of life, are comparatively affordable, and offer unparalleled access to world-class recreation and natural beauty. Come join us!
EEO/Non-Discrimination Information
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number, can be located at https://www.utah.edu/nondiscrimination/.
Online reports may be submitted at https://oeo.utah.edu.
Notice
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
https://publicsafety.utah.edu/safetyreport/
This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
Special Instructions for Candidates
Open Date
12/17/2025
Close Date
05/31/2026
Open Until Filled
No
Requisition Number
PRN01461CF
Type
Faculty

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850