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Ai Hardware Engineer Jobs in Virginia (NOW HIRING)

ORBCOMM

Hardware Engineer

Sterling, VA · On-site

$100K - $115K/yr

Join Us as a Hardware Design Engineer! Are you ready to make a significant impact in an innovative ... Leverage AI-enabled tools and automation to support daily tasks and productivity. * Commitment to ...

Capital One

AI Engineer

Mclean, VA · On-site

You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss Basic ...

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All JobsAi Hardware Engineer JobsAi Hardware Engineer Jobs in Virginia

Ai Hardware Engineer information

See Virginia salary details

$50.6K

$145K

$194.8K

How much do ai hardware engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ai hardware engineer in Virginia is $144,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $161,600.00 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 Virginia?

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

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

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

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

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

Ai Hardware Engineer jobs near you
Infographic showing various Ai Hardware Engineer job openings in Virginia as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $144,976 per year, or $69.7 per hour.

Hardware Engineer II

Quality Support, Inc.

Alexandria, VA • On-site

$90 - $120/hr

Other

Posted 20 days ago

Job description

Quality Support, Inc., openings for Hardware Engineers with 5+ years of related experience with a background of submarine electronic subsystem requirements, development, testing, building, maintaining, and troubleshooting AI infrastructure under the guidance of senior staff. In this role, you will bridge the gap between design and production, focusing on prototyping, PCB design, testing and system integration of our rapidly expanding AI infrastructure. Working alongside senior engineers, you will ensure the highest levels of system availability, performance, and security as we bring innovative products from concept to prototype to mass production. Preferred Virginia Class Submarine Program and/or Columbia Class Submarine Program background/experience but not required. Secret and Top-Secret clearances required. Must be a US Citizen.

THIS POSITION IS CONTINGENT UPON CONTRACT AWARD.

Location

Level/Salary Range

TBD

HR Contact

Subrina Miles

Job Category

Non-Exempt

Security Clearance Required

Position Type

Full-time

Duties/Requirements/Qualifications

Hardware Engineer II 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 maturing your engineering skills and career.

  • Design & Prototyping: Create schematics, design PCBs, and develop hardware components (like processors and FPGAs) from concept to mass production.
  • Testing & Validation: Bring up new hardware, execute system‑level tests, and use debugging tools like oscilloscopes and logic analyzers.
  • Cross-Functional Collaboration: Partner with firmware, software, and mechanical teams to integrate hardware systems and troubleshoot issues.
  • Maintenance & Troubleshooting: Perform failure analysis on fielded hardware and resolve legacy or manufacturing defects.
  • Documentation: Generate and maintain detailed technical specifications, design reviews, and test plans.
Hardware Engineer Qualifications/Skills
  • Proficiency with design and analysis software (e.g., Siemens Xpedition, Altium).
  • Experience with communication interfaces (PCIe, Ethernet, I2C, SPI).
  • Basic programming capabilities in Python or C/C++ for test automation and debugging.
  • Teamwork
  • Analyzing information
  • Hardware/AI design
  • System/AI requirements
  • Hardware in an AI architecture setting
  • The desire to be challenged and think out of the box
Education / Experience Required
  • Bachelor’s degree in electrical engineering, computer engineering, or a STEM field
  • Five plus years of professional experience in hardware, circuit design, or embedded systems.
  • Five plus years of experience as a Hardware/AI Engineer
  • Two plus years of experience with AI, would be helpful
  • Master’s degree in electrical or computer engineering as a future education goal
To apply, send your resume to HR@qualitysupport.com. Please include the position title in the subject line. Quality Support, Inc. is an Equal Opportunity / Affimative Action employer.
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