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Ai Hardware Engineer Jobs (NOW HIRING)

Nvidia

AI Hardware Architect

Santa Clara, CA

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial ... Guide customers and firmware engineers to extract the most performance from microarchitectural ...

Cisco

Hardware Engineer

Milpitas, CA · On-site

$135.80K - $193.40K/yr

Meet the Team The Common Hardware Group (CHG) creates innovative hardware platforms central ... to the AI era, powering Cisco's Switching, Routing, and Wireless products for organizations ...

Bedrock Robotics

Hardware Engineer

San Francisco, CA · On-site

$145.50K - $192K/yr

Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the ... hardware engineer to help define system architecture, test and integrate modules into the system ...

Built Robotics Inc

Hardware Engineer

San Francisco, CA · On-site

$120K - $175K/yr

YOUR MISSION As a hardware engineer, you'll get to re-imagine and design hardware for our fleet of ... You'll create robust and replicable processes to streamline manufacturing of our AI guidance ...

VOLT

Hardware Engineer

Fremont, CA · On-site

$43 - $57/hr

Volt is immediately hiring Hardware Engineer in Fremont, California In this role, you will be ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Cisco

Hardware Engineer

Milpitas, CA · On-site

$152.40K - $221.80K/yr

Meet the Team Our Hardware Engineering team serves as the backbone of Cisco's innovation, dedicated ... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ...

Navi AI

Founding Hardware Engineer

San Francisco, CA · On-site

$145.50K - $192K/yr

Collaborate with software and ML engineers to ensure the hardware captures exactly what the ... The AI is only as good as the data the hardware captures - and in a cockpit, there are no second ...

BrightAI Corporation

Staff Hardware Engineer

Palo Alto, CA · On-site

$145.20K - $191.60K/yr

BrightAI is a high-growth company at the forefront of AI, IoT, Cloud, and Mobile technologies. We ... As a Hardware Engineer at BrightAI, you will play a pivotal role in designing and building next ...

BrightAI Corporation

Staff Hardware Engineer

Palo Alto, CA

$145.20K - $191.60K/yr

BrightAI is a high-growth company at the forefront of AI, IoT, Cloud, and Mobile technologies. We ... As a Hardware Engineer at BrightAI, you will play a pivotal role in designing and building next ...

Cisco

Hardware Engineer

Milpitas, CA · On-site

$135.80K - $193.40K/yr

Meet the Team Cisco Hardware Engineers develop and work with Next Generation Technology to build ... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ...

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Ai Hardware Engineer information

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$51K

$146.2K

$196.5K

How much do ai hardware engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for ai hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

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.

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 AI Hardware Engineers?

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.

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.

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Ai Hardware Engineer jobs near you
AI Hardware Architect

AI Hardware Architect

Nvidia

Santa Clara, CA

Full-time

Posted 13 days ago

Job description

NVIDIA is hiring an AI Hardware Architect to analyze andarchitectthe next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering innovative products. Together, we will build life-changing AI chips and chiplets for the rapidly growing AI infrastructure market. If you have knowledge of computer architecture, microarchitecture, and chip design, and are looking to learn and grow, this is the opportunity you are looking for.

Whatyou'llbe doing:

  • Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines andidentifyareas for improvement.

  • Study the applications and models running on Nvidia hardware and their architectural implications

  • Come up withmicroarchitectural solutions for connectivity, coherency, power management, security, memorymanagementand other SOC level issues.

  • Understand and help driveimplementationof bus protocols, networking protocols, memoryaccessand security solutions across a range of products.

  • Work with software, firmware,platformand multi-functional teams on system architecture.

  • Model, analyze, and explain the performance and power advantages of Nvidia solutions.

  • Guide customers and firmware engineers to extract the most performance from microarchitectural structures.

What we need to see:

  • Master's Degree in Computer Engineering or Electrical Engineering(or equivalent experience)

  • 8+ years of relevant industry experience.

  • Experience building high performance microarchitectural structures. Experience with industry standard bus protocols.

  • Clear understanding of the performance,powerand security implications of microarchitectural features.

  • Strong interpersonal,communicationand teamwork skills.

  • A drive to continuously learn and expand architectural breadth and depth.

  • Excellent coding and algorithmic thinking skills. Good understanding of LLMs.

  • Publications or other evidence of original chip/system architecture work is a plus.

Join the future of chip building, you will contribute to innovative products with a dedicated team!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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