ZipRecruiter

Log In

1

Ai Hardware Engineer Jobs in Utah (NOW HIRING)

LVT

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

... AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since ... Partner with Hardware Engineering, Product Quality Engineering (PQE), and Operations to clear ...

LVT

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

... AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since ... Partner with Hardware Engineering, Product Quality Engineering (PQE), and Operations to clear ...

LVT

Senior Software Engineer - Backend

American Fork, UT

$109K - $144K/yr

Partner closely with product management, hardware engineers, and AI research teams to translate ambiguous business requirements into robust, scalable software solutions. OUR IDEAL CANDIDATE * Proven ...

Biolite

Embedded Systems Engineer II

Midvale, UT

$115K - $130K/yr

Work closely with hardware engineering in developing and defining the specifications for future products, including recommendations on new technologies and design best practices. * Leverage modern AI ...

Biolite

Embedded Systems Engineer II

Midvale, UT · On-site

$115K - $130K/yr

Work closely with hardware engineering in developing and defining the specifications for future products, including recommendations on new technologies and design best practices. * Leverage modern AI ...

NRG

Software Engineer, Automation

Lehi, UT · On-site

Collaborate with developers, hardware and manual quality engineers on integration and troubleshooting. * Develop and maintain automated unit and functional tests. * Experience leveraging AI tools for ...

NRG

Software Engineer, Automation

Lehi, UT · On-site

Collaborate with developers, hardware and manual quality engineers on integration and troubleshooting. * Develop and maintain automated unit and functional tests. * Experience leveraging AI tools for ...

next page

Showing results 1-20

All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Utah

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 Aug 21, 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 is an AI hardware engineer?

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.

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 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.

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 is the salary of AI hardware engineer?

The salary of an AI hardware engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in FPGA, ASIC design, or deep learning hardware may earn higher compensation. Many positions also require knowledge of hardware description languages and experience with AI accelerators.

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 job categories do people searching Ai Hardware Engineer jobs in Utah look for?

The top searched job categories for Ai Hardware Engineer jobs in Utah are:

What cities in Utah are hiring for Ai Hardware Engineer jobs?

Cities in Utah with the most Ai Hardware Engineer job openings:

Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Utah as of August 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.

New Product Integration (NPI) Hardware Discipline Lead

Meta

Eagle Mountain, UT

$143K/yr

Full-time

Posted 4 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta is seeking a New Product Integration (NPI) Hardware Discipline Lead to join our Data Center Operations (DC Ops) Centralized Operational Strategy (COS) team. As Meta scales its data center footprint to 8+ GW and 60+ regions by 2028, the COS team serves as the central enablement function ensuring operational readiness, process integration, and strategic alignment. The NPI Hardware Discipline Lead will support data center facility infrastructure platforms — spanning mechanical cooling, power distribution, and other AI accelerator systems–and focus on operational excellence, procedure management, training, and development, ensuring that standards and procedures are safe, high-quality, clear, and executable in the field.
New Product Integration (NPI) Hardware Discipline Lead Responsibilities:
  • Responsibilities
  • Serve as the operational authority for facility infrastructure NPI hardware platforms, providing deep operational and technical support for launch enablement and complex troubleshooting
  • Act as the primary interface with engineering teams to ensure alignment between hardware design and data center operational capabilities
  • Support the NPI acceleration of 12-15 new platforms per year, driving discipline-specific operational readiness validation and system integration requirements
  • Investigate and develop deep technical proficiency with new AI accelerator platforms and the integration of new cooling technologies to proactively develop operational excellence strategies
  • Review and validate AI-generated operational procedures and standards, focusing on safety, quality, document clarity, and the ability to be executed in the field
  • Receive, manage, address, adjudicate, and handle field team feedback regarding hardware operational documents, ensuring continuous improvement and alignment with field realities
  • Participate in and lead root cause analysis (RCA) events for field teams related to hardware incidents, driving organizational corrective actions and sharing lessons learned
  • Partner with the Standards Program Manager and other Discipline Leads to ensure that tiered reviews of operational documents are based on safety and operational criticality
  • Support the development and maintenance of the global standards library, ensuring hardware procedures are accurate, discoverable, and AI-ready

Minimum Qualifications:
  • 8+ years of experience in data center operations, hardware engineering, or a related technical role with a specific focus on server hardware architecture and NPI
  • Demonstrated experience in operational excellence, procedure management, ownership, and development within a mission-critical environment
  • Proven ability to review, validate, and improve complex technical documentation, ensuring safety, quality, and field executability
  • Demonstrated expert-level experience with RCA of operational incidents, with the ability to communicate learnings and drive organizational corrective actions
  • Experience evaluating, defining, and improving end-to-end processes with the ability to prioritize and drive change across multiple areas
  • Experience communicating technical decisions to cross-functional teams, interfacing with external engineering organizations, and incorporating field team feedback into operational improvements

Preferred Qualifications:
  • Experience with rack-level liquid cooling technologies
  • Bachelor's degree in Computer Engineering, Electrical Engineering, or a related technical discipline
  • Experience with advanced AI hardware platforms and high-density rack architectures
  • Experience integrating AI tools or automation into documentation workflows

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$143,000/year to $198,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply