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Ai Chip Jobs (NOW HIRING)

Cerebras Systems

Lead RTL Design Engineer

Sunnyvale, CA · On-site

$175K - $275K/yr

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than ...

Google

Chip Implementation Lead

Sunnyvale, CA · On-site

About the job In this role, you'll work to shape the future of AI/ML hardware acceleration. You ... You will own the implementability of the entire chip, driving the convergence of Performance, Power ...

Bronco AI

Founding AI Engineer

San Francisco, CA · On-site

Bronco AI is focused on advancing chip development through AI agents that enhance chip verification and design processes. The Founding AI Engineer will be responsible for developing the core ...

Etched

Machine Learning Research Engineer

Cupertino, CA · On-site

$252K/yr

Etched is an AI chip startup that designs and manufactures hardware systems optimized for artificial intelligence model inference workloads. Founded in 2022, the company is headquartered in San Jose ...

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Ai Chip information

What is an AI chip?

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 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 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.

Which AI chip job is high paying?

Senior AI chip design engineers and hardware architects typically earn the highest salaries in AI chip jobs due to their specialized skills in semiconductor design, deep learning hardware, and system integration. These roles often require advanced degrees and experience with tools like FPGA or ASIC development, and they can command six-figure salaries depending on the company and location.

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 August 2026, with employment types broken down into 5% Internship, 85% Full Time, and 10% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Director AI/ML Driven ASIC Design and Implementation Automation

NXP Semiconductors

San Diego, CA

Full-time

Posted 13 days ago

Job description

As a Director of AI/ML driven ASIC Design and Implementation Automation in our AI & Chip Engineering (ACE) organization, you will work in a dynamic environment to explore methodology, flows and tools to improve efficiency and quality of results (power, performance, area, and quality) for SoC and IP development teams across the organization. You'll be working and connecting with AI/ML and automation experts in the industry as well as academia to explore state-of-the-art AI/ML CAD techniques as a part of VLSI CAD SW, prescribe key methods and requirements for tools & features to leverage for ASIC design.


In this role, you will develop prototype solutions to evaluate various state-of-the-art AI/ML techniques to identify the best solutions for NXP designs. While exploring these new ways of working, successful candidates will be working on actual designs and implementation to pilot and develop the automation.


This opportunity is within ACE Design Methodologies and Automation organization to enable Digital Transformation to leverage state-of-the-art AI/ML ideas to improve NXP designs for the Automotive Processors and Advanced microcontrollers in NXP.
The right candidate will be working in a fast-paced engineering environment, on a leading-edge advanced node technologies enabling automated building of exciting and complex SoCs.

Job Summary:

  • Explore research ideas and solutions that bring AI/ML applications to VLSI design

  • Work closely with Academic research communities in AI/ML for VLSI design, Architecture teams, IP and SoC designers and SoC Implementation teams from multiple sites to explore and evaluate for leading edge SoC technologies serving multiple industries

  • These automation applications include use of GenAI, Reinforcement Learning, Graph Neural Networks, and convolutional Networks

  • Strong AI/ML expertise, software and CAD background required

Cross functional aspects:

  • In this role, the candidate will work with multiple NXP Engineering teams, including Architecture, IP & SoC design, verification and implementation functions, coordinate and drive groundbreaking initiatives for Digital Transformation.

Qualifications:

  • BS or MS in Computer Science, Electrical Engineering, Computer Engineering or related disciplines with strong background in SW development

  • Hands-on expertise in programming using Python/C++

  • 7+ years of experience in AI and ML techniques (LLMs, CNN, RNN, and GraphNN) with experience of application to real world optimization problems

  • Data structures, algorithms, and SW development for optimization problems

  • Hands on experience in Unix/Linux, revision control (Git, BitBucket), SW development and debug tools

  • Excellent analytical problem-solving skills

  • Strong verbal and written communication skills

Desirable skills/experience:

  • Strong understanding of design, layout, constraints (SDC, Clocks, CDC, RDC), Static timing analysis, Low-power, and Power-aware flows (UPF)

  • Prior experience in VLSI CAD methodology and tool development

  • Good understanding of HDL: System Verilog, Verilog, VHDL, front-end design, physical design and layout implementation/generation flows and tools

  • Understanding or prior experience with EDA tools for design, verification, DFT and implementation

  • Experience with Design revision control (GIT, DesignSync) and Make

  • Splunk, Jenkins, LSF and CI/CD process

Job location:

  • San Diego, CA

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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