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Ai Hardware Architect Jobs (NOW HIRING)

NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering ...

NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering ...

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 ...

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 ...

Study the applications and models running on Nvidia hardware and their architectural implications ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

AI SoC Hardware Architect Location: Austin, TX. Cross‑functional leadership across Model Engineering, AI Infrastructure, and Silicon Architecture. The Problem Nobody Else Is Solving Most chip ...

Define and maintain the top-level hardware architecture of the robot platform -- compute topology (SoCs, MCUs, edge AI accelerators), power architecture (bus voltages, distribution, protection ...

SSD Hardware Architect

Longmont, CO · On-site

$152K - $280K/yr

SSD Hardware Architect Engineer Description Seeking a self-motivated, team-oriented Hardware ... We build the hardware that powers next-generation storage using AI agents. Our team brings together ...

SSD Hardware Architect EngineerDescription Seeking a self-motivated, team-oriented Hardware ... We build the hardware that powers next-generation storage using AI agents. Our team brings together ...

SSD Hardware Architect EngineerDescription Seeking a self-motivated, team-oriented Hardware ... We build the hardware that powers next-generation storage using AI agents. Our team brings together ...

Senior Hardware Architect Salary: Competitive base + bonus + equity Location: Washington D.C ... Exposure to edge computing or GPU-based platforms (NVIDIA, AI/ML) * Background in rugged or mission ...

SoC System Hardware Architect

Sunnyvale, CA · On-site

$196K/yr

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on ... architectural requirements. Knowledgeable with storage, networking, or hardware protocols e.g ...

AI Hardware System Architect

San Jose, CA · On-site

$284K/yr

... AI into one of their most valuable assets. About the team The System Architecture team owns ... You'll set direction across build, buy, and co-design decisions with our hardware partners, write ...

Architect end-to-end camera and imaging pipelines, including sensor interfaces, ISP integration ... Experience with hardware-software co-design methodologies for on-device AI and imaging workloads ...

New

AI Hardware System Architect

San Jose, CA · On-site

$284K/yr

... hardware, and optics to hit bandwidth and latency targets. * Own the power delivery architecture ... Hands-on experience with AI accelerator platforms (RDU, GPU, TPU, or custom ASIC) and the fabrics ...

AI Memory Solution Architect

San Jose, CA · On-site

$73.75 - $97.25/hr

Perform AI hardware/software system analysis to develop next-generation AI memory and storage solution architecture for energy-efficient AI/ML computing infrastructure, including memory and cache ...

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Ai Hardware Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do ai hardware architect jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai hardware architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is an AI hardware architect?

AI Hardware Architects are professionals who design and optimize hardware systems specifically for artificial intelligence applications, such as machine learning and deep learning. They work on developing specialized chips, processors, and computing architectures that accelerate AI workloads and improve efficiency. Their responsibilities include collaborating with software engineers, evaluating emerging technologies, and ensuring that hardware solutions meet the performance and scalability needs of AI models. This role is critical in bridging the gap between cutting-edge AI algorithms and the physical hardware that powers them.

What skills and qualifications are needed to thrive as an AI hardware architect?

To thrive as an AI Hardware Architect, you need a deep understanding of computer architecture, digital design, and machine learning algorithms, typically backed by a degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware description languages (HDLs) like Verilog or VHDL, experience with FPGA/ASIC design tools, and knowledge of AI accelerator frameworks are essential. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this field. These skills and qualities are critical for designing efficient and scalable hardware solutions that meet the complex demands of AI applications.

What are common challenges faced by AI hardware architects when designing new hardware solutions?

AI Hardware Architects often encounter challenges such as balancing performance requirements with power efficiency, ensuring scalability for various AI workloads, and staying current with rapidly evolving AI algorithms. They must collaborate closely with software engineers to align hardware capabilities with software needs and anticipate future industry trends to create forward-compatible architectures. Navigating trade-offs between cost, speed, and flexibility is a routine part of the role, requiring strong communication and problem-solving skills.

What are popular job titles related to Ai Hardware Architect jobs?

For Ai Hardware Architect jobs, the most frequently searched job titles are:

Infographic showing various Ai Hardware Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

AI Hardware Architect

Santa Clara, CA • On-site

NVIDIA Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

Other

Re-posted 23 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

## AI Hardware ArchitectApplylocations: US, CA, Santa Clara: US, TX, Austintime type: Full timeposted on: Posted 8 Days Agojob requisition id: JR2015198NVIDIA is hiring an AI Hardware Architect to analyze and architect the 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.**What you'll be doing:*** Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement.* Study the applications and models running on Nvidia hardware and their architectural implications* Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues.* Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products.* Work with software, firmware, platform and 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, power and security implications of microarchitectural features.* Strong interpersonal, communication and 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 July 17, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive 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. #J-18808-Ljbffr

What Nvidia employees say

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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