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Ai Chip Jobs (NOW HIRING)

NXP Semiconductors N.V.

Chip Lead

Austin, TX · On-site

$101K - $133K/yr

AI & Chip Engineering team defines and develops System on Chip, ASIC's, Digital and Analog IP's for a wide range of products, including Automotive microprocessors, Application processors, Data Center ...

NXP Semiconductors

Chip Lead

Austin, TX · Hybrid

$101K - $133K/yr

AI & Chip Engineering team defines and develops System on Chip, ASIC's, Digital and Analog IP'sfor a wide range of products, including Automotive microprocessors, Application processors, Data Center ...

Eridu AI

ASIC Chip Design Lead

Saratoga, CA · On-site

$250K - $280K/yr

Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces ... Position Overview We are seeking a hands-on ASIC Chip Design Lead to own chip design execution from ...

Bronco

Founding Software Engineer

San Francisco, CA · On-site

$150K - $200K/yr

We're currently deployed alongside verification teams at some of the largest chip companies in the world and AI chip startups, supporting production SoC designs at leading-edge process nodes. We are ...

Advantest

AI Automation Engineering Intern

San Jose, CA

$19.75 - $25.50/hr

Mentorship from experienced test and product engineers at the forefront of AI chip development. * A portfolio of automation projects you can showcase to future employers. * The opportunity to shape ...

Advantest

AI Automation Engineering Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

Mentorship from experienced test and product engineers at the forefront of AI chip development. * A portfolio of automation projects you can showcase to future employers. * The opportunity to shape ...

QCi

The role serves as a technical bridge between the research team developing novel quantum/AI architectures and the chip fabrication team responsible for implementation, ensuring that proposed designs ...

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All JobsAi Chip Jobs

Ai Chip information

Who are the top 5 AI chip makers?

The top five AI chip makers are NVIDIA, AMD, Intel, Google (with its Tensor Processing Units), and Apple. These companies lead the industry in developing specialized hardware for AI workloads, often requiring expertise in hardware design, programming, and system integration for AI chip development roles.

Which 3 jobs will survive AI?

AI Chip professionals, such as hardware engineers and AI system architects, are likely to continue thriving due to the specialized technical skills required to design and optimize AI hardware. Additionally, roles in AI ethics and policy, which involve understanding societal impacts and regulations, are less susceptible to automation. These jobs demand critical thinking, domain expertise, and ongoing adaptation to technological advancements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with AI frameworks, along with a strong educational background and industry expertise.

What are some common challenges faced by professionals working in AI chip development, and how can they be addressed?

Professionals in AI chip development often encounter challenges such as balancing high computational performance with power efficiency, keeping up with rapid technological advancements, and integrating hardware with evolving AI algorithms. Collaboration between hardware engineers, software developers, and data scientists is essential to ensure that chips meet both performance and functional requirements. Staying current through ongoing learning and participating in cross-functional teams can help address these challenges and contribute to successful AI chip projects.

What engineers make $500,000?

Senior AI chip engineers, especially those with extensive experience, advanced degrees, and expertise in hardware design, often earn salaries of $500,000 or more, including base pay, bonuses, and stock options. High compensation is typically found in leading technology companies working on cutting-edge semiconductor and AI hardware development.

What are AI chips?

AI chips are specialized hardware components designed to accelerate artificial intelligence workloads, such as machine learning and deep learning tasks. Unlike traditional CPUs, AI chips are optimized for processing large volumes of data in parallel, making them highly efficient for neural network computations. These chips are commonly used in data centers, smartphones, autonomous vehicles, and edge devices to enable faster and more energy-efficient AI processing.

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 solid background in electrical engineering, computer architecture, and experience with hardware design, typically supported by a relevant degree. Familiarity with hardware description languages (such as Verilog or VHDL), EDA tools, and knowledge of semiconductor fabrication processes are crucial technical requirements. Attention to detail, strong problem-solving abilities, and effective teamwork skills help you excel in complex project environments. These competencies are vital for developing high-performance, efficient AI chips that power modern artificial intelligence applications.

What is the difference between Ai Chip vs AI Hardware Engineer?

AspectAi ChipAI Hardware Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; knowledge of VLSI designBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; experience with hardware design and testing
Work EnvironmentDesign labs, manufacturing facilities, R&D centersDesign labs, testing facilities, R&D centers
Employer & Industry UsageTech companies, semiconductor firms, AI hardware startupsTech companies, semiconductor companies, research institutions

While both roles involve hardware and AI technology, an Ai Chip focuses on designing and developing AI-specific chips, whereas an AI Hardware Engineer works on the broader hardware systems that support AI applications, including integration and testing.

More about Ai Chip jobs
What cities are hiring for Ai Chip jobs? Cities with the most Ai Chip job openings:
What states have the most Ai Chip jobs? States with the most job openings for Ai Chip jobs include:
What job categories do people searching Ai Chip jobs look for? The top searched job categories for Ai Chip jobs are:
Ai Chip jobs near you
Infographic showing various Ai Chip job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Inference Marketing Lead: Real-Time Velocity

AI Inference Marketing Lead: Real-Time Velocity

Cerebras Systems, Inc.

Sunnyvale, CA

Full-time

Posted 11 days ago

Job description

Cerebras Systems, Inc. in Sunnyvale is looking for a Senior Product Marketing Manager to drive marketing efforts for their cutting-edge AI chip. This role involves crafting impactful content, engaging with AI communities, and highlighting Cerebras’ unique advantages in the sector.

The ideal candidate will have extensive experience in product marketing, a deep understanding of AI technologies, and the ability to develop strategies that resonate with technical audiences. Join Cerebras and be part of a team that is redefining AI capabilities.

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