1

Ai Chip Jobs in Iowa (NOW HIRING)

Ai Chip information

What is an AI chip?

AI chips are specialized hardware components designed to accelerate artificial intelligence workloads, such as machine learning and deep learning tasks. Unlike traditional CPUs, AI chips are optimized for processing large volumes of data in parallel, making them highly efficient for neural network computations. These chips are commonly used in data centers, smartphones, autonomous vehicles, and edge devices to enable faster and more energy-efficient AI processing.

What are some common challenges faced by professionals working in AI chip development, and how can they be addressed?

Professionals in AI chip development often encounter challenges such as balancing high computational performance with power efficiency, keeping up with rapid technological advancements, and integrating hardware with evolving AI algorithms. Collaboration between hardware engineers, software developers, and data scientists is essential to ensure that chips meet both performance and functional requirements. Staying current through ongoing learning and participating in cross-functional teams can help address these challenges and contribute to successful AI chip projects.

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

To thrive as an AI Chip Engineer, you need a solid background in electrical engineering, computer architecture, and experience with hardware design, typically supported by a relevant degree. Familiarity with hardware description languages (such as Verilog or VHDL), EDA tools, and knowledge of semiconductor fabrication processes are crucial technical requirements. Attention to detail, strong problem-solving abilities, and effective teamwork skills help you excel in complex project environments. These competencies are vital for developing high-performance, efficient AI chips that power modern artificial intelligence applications.

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

AspectAi ChipAI Hardware Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; knowledge of VLSI designBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; experience with hardware design and testing
Work EnvironmentDesign labs, manufacturing facilities, R&D centersDesign labs, testing facilities, R&D centers
Employer & Industry UsageTech companies, semiconductor firms, AI hardware startupsTech companies, semiconductor companies, research institutions

While both roles involve hardware and AI technology, an Ai Chip focuses on designing and developing AI-specific chips, whereas an AI Hardware Engineer works on the broader hardware systems that support AI applications, including integration and testing.

Which AI chip job is high paying?

Senior AI chip design engineers and hardware architects typically earn the highest salaries in AI chip jobs due to their specialized skills in semiconductor design, deep learning hardware, and system integration. These roles often require advanced degrees and experience with tools like FPGA or ASIC development, and they can command six-figure salaries depending on the company and location.

What are popular job titles related to Ai Chip jobs in Iowa?

For Ai Chip jobs in Iowa, the most frequently searched job titles are:

What cities in Iowa are hiring for Ai Chip jobs?

Cities in Iowa with the most Ai Chip job openings:

Infographic showing various Ai Chip job openings in Iowa as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Data Center Operations Facilities Manager

Google

Council Bluffs, IA • On-site

$155K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

info_outline
X This role is not eligible for U.S. immigration sponsorship.
Minimum qualifications:
  • Bachelor's degree in a technical field or equivalent practical experience.
  • 10 years of experience managing technical teams in charge of operating, maintaining, and troubleshooting electrical, mechanical, and controls infrastructure and components.
  • Experience in mentoring or developing managers.

Preferred qualifications:
  • Experience in mission critical systems operations (e.g., power generation, data center, refinery, chip fabrication, chemical processing, or other high consequence environments).
  • Experience in collaborating with other business units to meet company goals and standards.
  • Understanding of the operations and maintenance of electrical, control systems, and mechanical systems in a data center environment.
  • Ability to develop and grow team members through coaching, mentoring, and training.
  • Excellent people management and leadership skills.

About the job
At Google, we aim to foster Googley work environments that are collaborative, friendly and fun. The Facilities Management team brings our spaces to life as you oversee the daily operations of our offices. While roles with similar names at other companies can be far more mundane, you're a creative, organized customer service specialist, who takes pride in seeing things run smoothly and efficiently. You go out of your way to make sure that clients are not only satisfied, but singing Google's praises. You're comfortable in a fast-paced environment with the highest standards of excellence. You aren't afraid to have fun with your job, and bring an enthusiasm, dedication and a collaborative spirit to build and maintain office spaces that facilitate some of the world's most cutting edge innovation.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $164000 - $238000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Own efforts to perform compliance activities for a data center and analyze compliance results for data centers globally. Ensure regional and global teams are complying with project/schedule guidelines and Google design standards.
  • Lead efforts to monitor data center systems operations, control site activities to minimize risk, and to ensure effective response to any excursions.
  • Lead efforts to ensure all sites are following facility, maintenance, and standard programs globally while exhibiting strength in improvement to said policies and programs.
  • Own the development of strategies to keep operational costs to a minimum, improve efficiency, and reduce environmental impact at a site, along with driving site-level development of programs and initiatives.
  • Incorporate subdomain expertise and experience to enhance data center design to optimize equipment and operations for next generation data centers.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom