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Ai Chips Jobs (NOW HIRING)

NVIDIA Corporation

AI Hardware Architect

Santa Clara, CA · On-site

$184 - $287.50/hr

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 ...

OpenReq

Software Engineer, LLM Compilation

Cupertino, CA · On-site

$128K - $172K/yr

Etched is building AI chips that are hard-coded for individual model architectures, and they are seeking a Software Engineer to help optimize and implement software for their LLM compilation. The ...

Etched

Inference Software Engineer

Cupertino, CA · On-site

Etched is building AI chips that are hard-coded for individual model architectures. They are seeking an Inference Software Engineer to contribute to the architecture and design of the Sohu host ...

Amazon

Communications Specialist, Chips, Amazon

Seattle, WA · On-site

$60K - $80K/yr

Amazon is inventing at the frontier of computing - designing custom chips that power cloud infrastructure and AI workloads at unprecedented scale. We're seeking a communications professional to join ...

Etched

Inference Software Engineer

Cupertino, CA · On-site

Etched is a company focused on building AI chips tailored for specific model architectures. They are seeking an Inference Software Engineer to contribute to the architecture and design of the Sohu ...

Etched

Firmware Engineer

Cupertino, CA · On-site

Our ASIC systems deliver orders of magnitude higher performance than conventional AI chips. Etched is actively developing Sohu, an ASIC exclusively for transformers, which will enable products that ...

Etched

Firmware Engineer

Sunnyvale, CA

Our ASIC systems deliver orders of magnitude higher performance than conventional AI chips. Etched is actively developing Sohu, an ASIC exclusively for transformers, which will enable products that ...

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How much do ai chips jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai chips in the United States is $14.83, according to ZipRecruiter salary data. Most workers in this role earn between $10.82 and $15.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working with AI chips, and how can they be addressed?

Working with AI chips often involves navigating rapidly evolving hardware architectures and keeping pace with new advancements. Professionals may face challenges related to optimizing software for specific chip designs, ensuring compatibility across platforms, and addressing power and thermal limitations. Collaboration with cross-functional teams—such as data scientists, hardware engineers, and software developers—is crucial to successfully integrate AI chips into products. Staying updated through continuous learning and leveraging available documentation and development tools can help mitigate these challenges.

What are AI chips?

AI chips are specialized hardware components designed to efficiently process artificial intelligence workloads, such as machine learning and deep learning tasks. Unlike traditional CPUs, AI chips (like GPUs, TPUs, and NPUs) are optimized for parallel processing and high-speed calculations required by AI algorithms. They help accelerate training and inference in applications ranging from speech recognition to autonomous vehicles. As AI technology advances, AI chips are becoming increasingly important in data centers, edge devices, and consumer electronics.

What are the key skills and qualifications needed to thrive as an AI chip engineer, and why are they important?

To thrive as an AI Chip Engineer, you need a strong background in electrical engineering, computer architecture, and semiconductor design, typically supported by a relevant degree. Proficiency with hardware description languages (such as Verilog or VHDL), EDA tools (like Cadence or Synopsys), and experience with high-level AI frameworks are commonly required. Strong problem-solving skills, attention to detail, and effective teamwork are critical soft skills for excelling in this role. These skills and qualities are essential to design high-performance, efficient AI chips that meet the complex demands of modern AI applications.

What is the difference between Ai Chips vs Data Scientists?

AspectAi ChipsData Scientists
Required CredentialsKnowledge of hardware design, electrical engineering, sometimes certifications in chip designDegree in data science, statistics, computer science; certifications like Certified Analytics Professional
Work EnvironmentHardware labs, R&D facilities, manufacturing plantsOffice settings, research labs, data analysis environments
Industry UsageTechnology, semiconductor manufacturing, AI hardware developmentTech companies, finance, healthcare, research institutions

Ai Chips focus on designing and developing specialized hardware for AI applications, requiring technical hardware skills. Data Scientists analyze data to extract insights, requiring statistical and programming expertise. While both roles are integral to AI development, they differ significantly in skills, environment, and industry focus.

Infographic showing various Ai Chips job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, and 16% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $30,839 per year, or $14.8 per hour.

AI Hardware Architect

NVIDIA Corporation

Santa Clara, CA • On-site

$184 - $287.50/hr

Other

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 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

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Hours and flexibility

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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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