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Ai Hardware Engineer Jobs in Minnesota (NOW HIRING)

Quality Support, Inc.

Hardware Engineer III

Virginia, MN · On-site

$100 - $130/hr

Hardware Engineer III Job Responsibilities Transform AI technology into opportunity as a Hardware Engineer at QSI. Help drive the next-must have dynamic mission‑critical government projects while ...

Medtronic

Prin. Systems Hardware Engineer

Moundsview, MN · On-site

$131K - $172K/yr

Principal Hardware Engineer Careers that Change Lives Medtronic aims to contribute to human welfare ... Organizational collaborator on DH&AI enabled initiatives to leverage cross disciplinary and ...

Medtronic

Prin. Systems Hardware Engineer

Moundsview, MN · On-site

$131K - $172K/yr

Principal Hardware Engineer Careers that Change Lives Medtronic aims to contribute to human welfare ... Organizational collaborator on DH&AI enabled initiatives to leverage cross disciplinary and ...

Medtronic

Prin. Systems Hardware Engineer

Moundsview, MN · On-site

$131K - $172K/yr

Principal Hardware Engineer Careers that Change Lives Medtronic aims to contribute to human welfare ... Organizational collaborator on DH&AI enabled initiatives to leverage cross disciplinary and ...

IBM

$125K - $165K/yr

Introduction IBM Hardware and Systems engineers design and deliver the compute platforms that power the world's most advanced AI, cloud, and enterprise technologies. From silicon to system, our teams ...

Posted today

In Tandem

AI Engineer

Minneapolis, MN · On-site

$100K - $135K/yr

As our AI Engineer , you'll keep the AI infrastructure our products and teams run on fast ... Run the inference serving layer on our own GPU hardware: choose and tune the serving stack (vLLM ...

NextSilicon

HPC Systems Administrator

Minneapolis, MN · On-site +1

Our software-defined hardware architecture empowers HPC/AI to deliver groundbreaking discoveries ... Bachelor's degree in engineering, mathematics, computer science, related field, or equivalent ...

Thomson Reuters

Senior Inference Engineer - AI

Eagan, MN · On-site

$106K - $146K/yr

... hardware specific tuning * Deploy and scale inference workloads on GPUs across AWS, Azure, GCP and ... Collaborates closely with AI engineers to invent new quantization techniques, improve numerical ...

THOMSON REUTERS

Senior Inference Engineer - AI

Eagan, MN · Hybrid

$106K - $146K/yr

... hardware specific tuning * Deploy and scale inference workloads on GPUs across AWS, Azure, GCP and ... Collaborates closely with AI engineers to invent new quantization techniques, improve numerical ...

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All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Minnesota

Ai Hardware Engineer information

See Minnesota salary details

$50K

$143.2K

$192.5K

How much do ai hardware engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai hardware engineer in Minnesota is $143,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $159,600.00 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 Minnesota?

For Ai Hardware Engineer jobs in Minnesota, the most frequently searched job titles are:

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

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

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

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

Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $143,220 per year, or $68.9 per hour.

Senior AI Hardware Engineer, Embedded Systems - Secret

Quality Support, Inc.

Virginia, MN • On-site

$100 - $130/hr

Other

Posted 27 days ago

Job description

Quality Support, Inc. is seeking a Hardware Engineer with 8-10+ years of experience in embedded hardware design and AI infrastructure. This role entails designing and testing complex hardware systems in collaboration with software and manufacturing teams to ensure optimal system integration.

You will be responsible for creating schematics, leading prototype debugging, and conducting thorough validation testing. A degree in electrical or computer engineering and a background in regulated industries are preferred. Secret and Top-Secret clearances are required, and candidates must be US Citizens.

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