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Ai Chip Jobs in Arizona (NOW HIRING)

black.ai

Substrate IC Package Design Engineer

Tempe, AZ · On-site

$125 - $150/hr

You will play a foundational role in developing designs that underpin next-generation packaging architectures, including high-performance chip-to-chip integration approaches. Working at the ...

Viasat, Inc.

Senior Design Verification Engineer

Tempe, AZ · On-site

$193K - $290K/yr

Experience with AI and agentic flow methodologies for design verification and chip development * Foundational knowledge of digital logic and timing considerations * Attention to detail, ability to ...

black.ai

Applications Engineering Manager

Tempe, AZ · On-site

$150 - $200/hr

Familiarity with chip-last, chip-on-wafer/substrate processes * Experience with hardware/software integration, CAD/CAM tools, and system-level troubleshooting Communication & Customer Skills

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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 are popular job titles related to Ai Chip jobs in Arizona?

For Ai Chip jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Chip jobs in Arizona look for?

The top searched job categories for Ai Chip jobs in Arizona are:

What cities in Arizona are hiring for Ai Chip jobs?

Cities in Arizona with the most Ai Chip job openings:

Ai Chip jobs near you
Infographic showing various Ai Chip job openings in Arizona as of August 2026, with employment types broken down into 4% Internship, 88% Full Time, and 8% Contract. Highlights an 96% In-person, and 4% Remote job distribution.

Vice President of Engineering (Semiconductor) (Phoenix)

Stealth AI Startup

Phoenix, AZ • On-site

$167K - $215K/yr

Full-time

Re-posted 5 days ago

Job description

Vice President of Engineering (Semiconductor)

Confidential Executive Search

About the Opportunity

We are conducting a confidential search on behalf of a pioneering AI semiconductor company redefining how intelligence is deployed at the edge. The company has developed a breakthrough processing architecture enabling ultra-efficient, real-time intelligence across devices operating outside traditional cloud environments -- addressing critical industry challenges in power consumption, latency, privacy, security, and scalability.

The organization is entering a significant growth phase as customer adoption accelerates across global markets.

The Role

The VP of Engineering will lead global engineering, product development, software, silicon architecture, and technology commercialization. Reporting to the CEO and serving on the executive leadership team, this executive will transform innovative technology into scalable commercial products while driving organizational growth and customer success.

Key Responsibilities
  • Own and execute the technology and product roadmap in partnership with Product and R&D
  • Lead global engineering organizations spanning silicon design, chip architecture, software, AI/ML, systems, and product engineering
  • Drive next-generation products from concept through commercialization
  • Partner with strategic customers and ecosystem partners to accelerate adoption
  • Establish scalable development processes, quality systems, and organizational structures
  • Build and mentor high-performing technical leadership teams
  • Collaborate with executive leadership and the Board on strategic initiatives
Required Qualifications
  • 20+ years of technology leadership with a track record of delivering commercially successful SoC products
  • Proven success leading engineering and product development organizations
  • Experience bringing complex hardware/software platforms to market
  • Strong background in semiconductor technologies, AI acceleration, embedded computing, or advanced system architectures
  • Demonstrated ability to scale organizations during rapid growth
  • Experience managing geographically distributed engineering teams
Preferred Experience

AI/ML, edge computing, semiconductor IP licensing and manufacturing, embedded systems, hardware/software co-design, AI infrastructure, advanced computing architectures

Why This Opportunity

A rare chance to join a company creating a fundamentally new approach to intelligent computing and shaping the next generation of AI-enabled products. The successful candidate will have significant influence over technology strategy, product direction, and long-term company success.

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