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Ai Accelerator Jobs in Arizona (NOW HIRING)

This role will shape Intel's brand portfolio across CPUs, GPUs, AI accelerators, networking, and software, ensuring alignment with business goals and enterprise, cloud, and developer engagement ...

Your multidisciplinary team will turn emerging neuromorphic and AI accelerator concepts into robust, manufacturable silicon. First-principles thinking and an openness to learning new technologies and ...

New

AI Accelerator Security for Client NPU Lead security discovery usingAIbasedanalysis tools, with explicit responsibility for: * Identifyingfirmware andlowlevelvulnerabilities at scale * Discovering ...

Experience delivering IP across Client, Datacenter, AI Accelerator, and Foundry/ASIC markets.Knowledge of advanced packaging technologies and system-level integration considerations.Experience ...

Account Executive

Scottsdale, AZ · On-site

$130K - $200K/yr

At Coram AI, we're reimagining video security for the modern world. Our cloud-native platform uses ... In return, you are able to earn uncapped commission, reach accelerators, and sell into a rapidly ...

Contribute to internal AI capability building, including reusable frameworks, accelerators, reference architectures, and internal tooling. * Mentor junior consultants and engineers on AI/ML methods ...

Build or coordinate GPTs, agents, prompts, templates and workflow accelerators; manage optimization, usage monitoring and retirement. 2. Lead AI strategy, roadmap, governance and Center of Excellence ...

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Ai Accelerator information

What is an AI accelerator?

AI Accelerators are specialized hardware or software systems designed to optimize and speed up artificial intelligence (AI) and machine learning (ML) workloads. They process complex computations required by AI algorithms more efficiently than general-purpose CPUs, enabling faster training and inference for deep learning models. Common examples of AI accelerators include GPUs, TPUs, FPGAs, and dedicated AI chips. These technologies are widely used in data centers, edge devices, and consumer electronics to support applications like image recognition, natural language processing, and autonomous vehicles.

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

To thrive as an AI Accelerator, you need a deep understanding of machine learning algorithms, computer architecture, and parallel computing, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with hardware description languages (HDLs), CUDA, TensorFlow, and specific AI accelerator platforms is typically required. Strong problem-solving abilities, collaboration, and adaptability are essential soft skills for navigating complex projects and interdisciplinary teams. These skills and qualities are crucial for designing, optimizing, and deploying high-performance AI systems that meet real-world demands.

How does an AI accelerator typically collaborate with data scientists and engineering teams on AI projects?

AI Accelerators work closely with both data scientists and engineering teams to bridge the gap between model development and deployment. They often help optimize AI models for efficiency and scalability, ensuring they run effectively on various hardware platforms. Regular collaboration includes reviewing model architectures, suggesting improvements for speed and accuracy, and troubleshooting performance bottlenecks together. This cross-functional teamwork is essential for translating research breakthroughs into robust, real-world AI solutions.

What does an AI accelerator do?

An AI accelerator is a professional who develops and optimizes hardware and software solutions to improve the performance of artificial intelligence models. They often work with specialized hardware like GPUs or TPUs and use programming skills in frameworks such as TensorFlow or PyTorch to enhance AI processing speed and efficiency.

What cities in Arizona are hiring for Ai Accelerator jobs?

Cities in Arizona with the most Ai Accelerator job openings:

Infographic showing various Ai Accelerator job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Data Center and AI Brand Strategist

Intel

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Lead the creation, curation, and management of Intel's data center and AI product brand strategy across hardware and software.

  • Define and implement strategic decisions regarding product brand creation, brand extensions, hierarchy, categories, and segmentation.

  • Partner with silicon architects, hardware and software engineers, product marketing, and designers to ensure branding strategies reflect the underlying technology.


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

Job Details:Job Description: 

Intel's Brand and Creative team, within the Global Marketing and Communications Group, is seeking a Data Center and AI (DCAI) Brand Strategist to lead the strategic development of Intel's data center, AI infrastructure, and enterprise brands. This role will shape Intel's brand portfolio across CPUs, GPUs, AI accelerators, networking, and software, ensuring alignment with business goals and enterprise, cloud, and developer engagement strategies.
Responsibilities Include, but are not limited to:

  • Brand Strategy Development: Lead the creation, curation, and management of Intel's data center and AI product brand strategy across hardware and software that spans multiple types of workloads.

  • Naming and Architecture: Define and implement strategic decisions regarding product brand creation, brand extensions, hierarchy, categories, and segmentation across silicon, systems, and software tiers - ensuring the architecture reflects real technical distinctions. Oversee the development of naming conventions, nomenclature, and tiering strategies for a technically nuanced portfolio, ensuring names are credible to technical buyers while remaining clear to business decision-makers.

  • Cross-functional and Technical Collaboration: Partner with silicon architects, hardware and software engineers, product marketing, and designers to ensure branding strategies accurately reflect the underlying technology

  • Stakeholder Management: Effectively manage senior stakeholders across business units, engineering, sales, and marketing teams - including Data Center and AI Group leadership - to drive alignment on long-term brand decisions for a fast-moving, competitive category.

  • Brand Activation and Visual Identity: Collaborate on the development of physical and digital brand activations ensuring consistent and impactful brand storytelling for enterprise, cloud, and developer audiences.

  • Brand Analysis and Insights: Work with internal and external teams to validate brand strategy frameworks, measure impact with audiences, benchmark against competitive brands, and refine ongoing brand management practices.

  • Agency and Vendor Management: Direct internal and external brand and naming resources to support branding initiatives when necessary. Identify and implement efficiencies in workflows across the portfolio.


A Successful Candidate Will Demonstrate:

  • Deep expertise in brand strategy, naming, and architecture, applied to complex, technical B2B product portfolios.

  • Working technical fluency in data center and AI infrastructure - a clear understanding of how CPUs, GPUs, and AI accelerators differ and complement each other, how heterogeneous compute systems are architected, and how software (frameworks, compilers, runtime libraries, and orchestration tools) enables portability and performance across training, fine-tuning, and inference workloads.

  • Willingness and ability to drive strategic thinking for evolving product categories as AI infrastructure and workloads.

  • Passion for enterprise, cloud, and developer-facing products and technical audience engagement.

  • Proven skills to influence creative strategy and visual identity systems for technically sophisticated products.

  • Experience in cross-functional collaboration with silicon engineers, systems architects, and software teams as well as marketing and design.

  • A track record of driving data-driven brand decision-making.

  • Experience guiding executive-level stakeholders and fostering business alignment in a competitive, fast-moving market.

  • Exceptional project management skills to oversee branding initiatives across silicon, systems, and software workstreams.

  • Strong presentation skills for executive-level and technical-audience communication.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

This position is not eligible for Intel Immigration sponsorship.


Minimum Qualifications:

  • 6+ years of experience in brand strategy, brand management, brand marketing, product marketing, or brand naming at either a brand agency or on the client side.

  • 3+ years of experience presenting to executive stakeholders.

  • 3+ years of experience in technology branding, ideally including data center, semiconductor, cloud infrastructure, or enterprise IT categories.

  • Demonstrated understanding of core data center and AI hardware/software concepts (CPUs, GPUs, AI accelerators, memory/interconnect fundamentals, and AI software stacks) sufficient to partner credibly with engineering and technical product teams.


Preferred Qualifications

  • Bachelor's degree in business, marketing, or a related field; technical degree or coursework (computer engineering, computer science) is a plus.

  • 2+ years of experience in data center, cloud, semiconductor, or enterprise/B2B technology brand projects.

  • Familiarity with AI infrastructure concepts such as training vs. inference, model serving, heterogeneous computing, and open software ecosystems

  • 8+ years of experience in brand strategy, brand management, brand marketing, product marketing, or brand naming at either a brand agency or on the client side.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, California, Santa ClaraAdditional Locations:US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro, US, Texas, AustinPosting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $145,850.00-247,930.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968