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From Home Ai Hardware Jobs (NOW HIRING)

NVIDIA Corporation

AI Hardware Architect

Santa Clara, CA · On-site

$184 - $287.50/hr

## AI Hardware ArchitectApplylocations: US, CA, Santa Clara: US, TX, Austintime type: Full timeposted ... Guide customers and firmware engineers to extract the most performance from microarchitectural ...

Segment (Twilio)

AI Hardware Architect

Santa Clara, CA · On-site

$184 - $287.50/hr

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

New

Nvidia

AI Hardware Architect

Austin, TX · On-site

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 ...

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 ...

Meta

Hardware Systems Engineer, NPI AI

Menlo Park, CA

$144K/yr

... systems from early bring-up through production readiness. Hardware Systems Engineer, NPI AI Responsibilities: * Lead end-to-end system validation strategies for AI and HPC hardware platforms ...

NVIDIA Gruppe

AI Hardware Architect

Santa Clara, CA · On-site

$184 - $287/hr

Guide customers and firmware engineers to extract the most performance from microarchitectural ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Posted today

Tenstorrent

System Hardware Technician

Austin, TX · On-site

... CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform ... This role sits at the center of cutting-edge AI hardware development, keeping the servers, PCIe ...

Flux

Head of Hardware Design

San Francisco, CA · On-site

$245K - $270K/yr

To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language ...

Meta

Hardware Systems Engineer, NPI AI

Menlo Park, CA · On-site

$144K - $204K/yr

... from early bring-up through production readiness. Responsibilities Lead end-to-end system validation strategies for AI and HPC hardware platforms, including AI accelerators, GPU clusters, and high ...

Tesla

Space Radiation Engineer, AI Hardware

Palo Alto, CA · On-site

$160K - $414K/yr

You will lead the effort to transition from conventional hardware hardening to advanced ... AI Hardware Hardening:Develop shielding and mitigation strategies for cutting-edge AI accelerators ...

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$146.2K

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How much do from home ai hardware jobs pay per year?

As of Aug 7, 2026, the average yearly pay for from home ai hardware 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 is the difference between From Home Ai Hardware vs From Home Data Scientist?

AspectFrom Home Ai HardwareFrom Home Data Scientist
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related fields; knowledge of AI hardware componentsBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentRemote work focused on hardware design, testing, and troubleshootingRemote work involving data analysis, modeling, and interpretation
Industry UsageAI hardware manufacturing, tech companies, research labsTech companies, research institutions, analytics firms

From Home Ai Hardware professionals focus on designing and testing AI hardware components remotely, while From Home Data Scientists analyze data to inform AI models. Both roles require technical skills but differ in their focus on hardware versus data analysis.

What cities are hiring for From Home Ai Hardware jobs? Cities with the most From Home Ai Hardware job openings:
What are the most commonly searched types of Ai Hardware jobs? The most popular types of Ai Hardware jobs are:
What states have the most From Home Ai Hardware jobs? States with the most job openings for From Home Ai Hardware jobs include:
From Home Ai Hardware jobs near you

AI Hardware Architect

NVIDIA Corporation

Santa Clara, CA • On-site

$184 - $287.50/hr

Other

Re-posted 19 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

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

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom

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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

Year founded

1993

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