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Ai Hardware Engineer Jobs in Colorado (NOW HIRING)

Lead Hardware Engineer

Boulder, CO · On-site

$128K - $169K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Anduril Imaging Hardware Lead Engineers are responsible for hardware architecture, development ...

Lead Hardware Engineer

Boulder, CO · On-site

$130K - $171K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Anduril Imaging Hardware Lead Engineers are responsible for hardware architecture, development ...

Prin. Systems Hardware Engineer

Lafayette, CO · On-site

$128K - $169K/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 ...

Prin. Systems Hardware Engineer

Lafayette, CO · On-site

$128K - $169K/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 ...

Lead Hardware Engineer

Boulder, CO · On-site

$165 - $218/hr

... AI, computer vision, sensor fusion, and networking technology to the military in months, not years ... ABOUT THE JOB As the Lead Hardware Engineer for our ladar product line, you will be responsible for ...

New

Senior Hardware Engineer

Fort Collins, CO · On-site

$109K - $145K/yr

Senior Hardware Engineer Location-Type: Onsite, Fort Collins, CO Start Date: ASAP Duration ... AI silicon applications. Create and maintain PCB component libraries, ensuring accuracy of ...

Principal Hardware Engineer

Boulder, CO · On-site

$170K - $200K/yr

Atom Computing is seeking a hands-on Principal Hardware Engineer to lead the architecture, design ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Principal Hardware Engineer

Boulder, CO · On-site

$170K - $200K/yr

Atom Computing is seeking a hands-on Principal Hardware Engineer to lead the architecture, design ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Atom Computing is seeking a hands-on Principal Hardware Engineer to lead the architecture, design ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior Test Hardware Engineer

Fort Collins, CO · On-site

$109K - $146K/yr

A Hardware engineering position responsible for developing System Level Test PCBs for Broadcom ... Broadcom's market leading products are enabling the next generation of AI and cloud storage.

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Showing results 1-20

Ai Hardware Engineer information

See Colorado salary details

$53.6K

$153.8K

$206.6K

How much do ai hardware engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai hardware engineer in Colorado is $153,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,900.00 and $171,400.00 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 job categories do people searching Ai Hardware Engineer jobs in Colorado look for?

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

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

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

Infographic showing various Ai Hardware Engineer job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $153,764 per year, or $73.9 per hour.

$122K - $161K/yr

Other

Re-posted 24 days ago


Job description

OTSI (Object Technology Solutions, Inc) has an immediate opening for a Job Title Hardware Engineer 5 with one of our direct clients.

 

Job Title: Hardware Engineer 5 

Work Location: Longmont, CO (Onsite)

Duration: 12 Months Contract

 

Job Description:

·         Performs design and development engineering assignments related to hardware products and systems including development of new products or updates to existing products.

·         Work may encompass one or more areas of engineering including electronic design, mechanical design, or other related fields.

·         Duties may include research, evaluation, development, and application of new processes and methods into products.

·         May be responsible for establishing and conducting testing routines, developing or executing project plans, budgets, and schedules, and documentation of work and results. 10+ years of experience

Manager Notes / Additional Requirements:

·         Candidates must have strong hands-on experience in electrical hardware design at the PCB level.

·         Profiles focused mainly on FPGA design without PCB electrical design experience are not a fit.

·         Candidates should have hardware development testing and validation experience, specifically validating new hardware designs and PCB functionality.

·         Manufacturing test experience alone is not sufficient. The requirement is not for candidates who only perform assembly verification or production testing of PCBs.

·         Preferred candidates should have experience executing development-level test routines for newly designed hardware/PCBs and validating overall hardware performance and functionality.

About us:

OTSI is a global technology partner providing enterprise IT consulting, digital solutions, and managed services. We help organizations modernize complex technology landscapes, harness the power of data, and build scalable AI-led ecosystems to accelerate innovation and business growth. With over 26 years of experience, we consistently turn complex challenges into success stories through our strong technical capabilities and deep industry knowledge. Our global team of 1,800+ professionals, spread across 6 countries, delivers cutting-edge solutions for customers across Banking, Financial Services, Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government, Hi-Tech, Telecom & Media, Manufacturing, and more.

Our focused technology areas:

  • AI/ML (Agentic AI Solutions, GenAI/LLMs, Natural Language Processing, Intelligent Processing, Physical Intelligence)
  • Data & Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data, Analytics and BI)
  • Cloud (Cloud Computing, Cloud Migration, Cloud-Native Architecture, Hybrid and Multi-Cloud)
  • Digital Engineering (Application Modernization, Product Engineering, Platform Engineering, DevSecOps)
  • Quality Engineering (Manual Testing, Nonfunctional testing, Test Automation, Digital Testing)
  • Enterprise Platforms (SAP, Microsoft, Oracle, etc.)

Our focused industries and target segments:

  • Banking, Financial Services, & Insurance
  • Manufacturing, Transportation, & Logistics
  • Energy & Utilities
  • Telecom & Media
  • Healthcare & Lifesciences
  • Government & Public Sector (FED, SLED, & Partners)
  • Hi-Tech