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Ai Chip Jobs (NOW HIRING)

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 ...

Etched

Developer Experience Engineer

San Jose, CA · On-site

... AI workloads, simulation, and chip design workflows. • Build observability solutions using Grafana, Prometheus, and OpenTelemetry for monitoring pipelines, infrastructure, and compute clusters. • ...

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 ...

Etched

Inference Software Engineer

Cupertino, CA · On-site

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 ...

Cerebras

Network Architect

Sunnyvale, CA · On-site

$75.50 - $101.25/hr

Cerebras Systems builds the world's largest AI chip, transforming the user experience of AI applications. As a Network Architect, you will develop cutting-edge datacenter and interconnect ...

Etched

Inference Software Engineer

Cupertino, CA · On-site

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 ...

TylSemi

XPU Business Development Leader

San Jose, CA · On-site

$175K - $350K/yr

... AI chip and chiplet platform requirements into actionable product specs for R&D • Own the ecosystem partner map - IP vendors, OSATs, packaging partners, and foundry ecosystem programs; establish ...

Etched

Inference Software Engineer

San Jose, CA · On-site

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 ...

FuriosaAI

Solutions Architect - US

Santa Clara, CA · On-site

$74 - $97.50/hr

... AI chip company, cloud silicon team, or AI infrastructure startup • Familiarity with NPU/GPU accelerator ecosystems, PCIe integration, and data center hardware deployment • Experience with ...

FuriosaAI

Solutions Architect - US

Santa Clara, CA · On-site

$140 - $210/hr

Prior experience at a US AI chip company, cloud silicon team, or AI infrastructure startup * Familiarity with NPU/GPU accelerator ecosystems, PCIe integration, and data center hardware deployment

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Ai Chip information

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 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 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.

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, 5% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

AI Automation Engineering Intern

Advantest

San Jose, CA • On-site

$19.75 - $25.50/hr

Full-time

Re-posted 19 days ago

Job description

About the Role
We are looking for a motivated and technically curious intern to join our Silicon Test Engineering team. In this role, you will leverage AI and modern automation tools to build intelligent workflows that accelerate the development, validation, and production testing of next-generation AI chips. This is a unique opportunity to work at the intersection of AI-driven software automation and cutting-edge silicon hardware.
What You Will Do
  • Design, develop, and deploy AI-powered automation workflows to streamline silicon test processes, from loadboard bring-up through high-volume production.
  • Use large language models (LLMs) and AI coding assistants to rapidly prototype scripts, data pipelines, and analysis tools that support test program development.
  • Automate repetitive engineering tasks such as test data extraction, result parsing, yield analysis, and report generation using AI-augmented toolchains.
  • Collaborate with test, design, and product engineers to identify manual bottlenecks and implement intelligent automation solutions.
  • Build and maintain dashboards or internal tools that provide real-time visibility into test metrics, yield trends, and program health.
  • Evaluate and integrate emerging AI tools and APIs into existing engineering workflows to improve team productivity.
  • Document processes, automation recipes, and best practices to enable team-wide adoption.

Why This Role Matters
AI chips are pushing the boundaries of performance and complexity, and the engineering workflows that bring them to life must evolve just as fast. By embedding AI-driven automation directly into our test and validation pipeline, you will help reduce time-to-market, improve yield, and enable the team to focus on high-value engineering challenges instead of repetitive manual tasks. Your work will have a tangible impact on products that power the future of artificial intelligence.
What You Will Gain
  • Hands-on experience applying AI to real-world semiconductor engineering problems.
  • Deep exposure to the full silicon lifecycle - from design validation through high-volume manufacturing.
  • 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 how a world-class engineering team integrates AI into daily operations.

What We Are Looking For
  • Currently pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong programming skills in Python; familiarity with scripting, data manipulation (Pandas, NumPy), and API integration.
  • Demonstrated interest in or hands-on experience with AI/ML tools, LLMs, prompt engineering, or AI-assisted development (e.g., Claude, ChatGPT, Copilot).
  • Exposure to any of the following is a plus: semiconductor test (ATE), silicon validation, test program development, or hardware debug.
  • Ability to learn quickly, work independently, and communicate technical concepts clearly to cross-functional teams.
  • A builder's mindset - you see a manual process and immediately think about how to automate it.
  • Ability to work onsite at our San Jose, CA location five days per week. Relocation assistance is not provided to interns at this time.

Apply