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Ai Accelerator Jobs in Oregon (NOW HIRING)

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

Physical AI Solutions Architect

Hillsboro, OR · On-site

$68.50 - $90.50/hr

... AI accelerators, software, and platform technologies within customer architectures.- Lead proof-of-concepts, technical evaluations, benchmarking, and solution validation activities.- Represent ...

New

Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O technologies, and networked multi-GPU systems * Knowledgeable in modern packaging technologies, and their ...

Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O technologies, and networked multi-GPU systems Knowledgeable in modern packaging technologies, and their ...

Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O technologies, and networked multi-GPU systems Knowledgeable in modern packaging technologies, and their ...

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

... accelerators. * Evaluate and recommend cloud, data, AI, observability, orchestration, and security technologies that improve delivery speed, quality, scalability, and cost efficiency. Anthropic ...

... accelerators. * Evaluate and recommend cloud, data, AI, observability, orchestration, and security technologies that improve delivery speed, quality, scalability, and cost efficiency. Anthropic ...

VP, Technology & AI Strategy

OR · On-site +1

$179K - $231K/yr

Convert AI-enabled capabilities into differentiated features, accelerators, and service offerings. AI Commercialization * Partner with product and sales to identify marketable AI use cases suited to ...

AI & Data Strategy Architect

OR · On-site +1

$63.75 - $82/hr

Contribute to phData's AI & Data Strategy offerings: methods, frameworks, accelerators, and client-ready collateral. * Support sales pursuits, client presentations, and thought leadership focused on ...

Showing results 21-40

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 are popular job titles related to Ai Accelerator jobs in Oregon?

For Ai Accelerator jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Ai Accelerator jobs?

Cities in Oregon with the most Ai Accelerator job openings:

Infographic showing various Ai Accelerator job openings in Oregon as of August 2026, with employment types broken down into 74% Full Time, 21% Part Time, 4% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Sr. Security Architect

Intel

Hillsboro, OR • On-site

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago


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: 

We are seeking aSr. Security Architectto drivesecurity architecture for Client and Data Center SoCs, with a primary focus onusingAIdriventools tobuild Specifications, Code,Test, andanalyzesecurity vulnerabilities at scale.This role defines howmodern AI techniques are applied to securitysystemsacross firmware andlowlevelsystem hardware/software-augmenting and surpassing traditional manualdevelopment andreview. The successful candidate is a recognized technical expert who can combinedeep SOC/Platform securityexpertisewithhandsonuse ofAIbasedanalysis toolstobuild, test anduncover real security flaws, systemic risks, andcrosslayerattack paths early in the product lifecycle.

Key Responsibilities

  • Serve as the technical leadforSOC security architectureacross Client and Data Center SOC/platform Definition:
  • Boot ROMs, secure and measured boot flows
  • Hardware-firmware-OS chains of trust
  • AI Accelerator Security for Client NPU

Lead security discovery usingAIbasedanalysis tools, with explicit responsibility for:

  • Identifyingfirmware andlowlevelvulnerabilities at scale
  • Discovering insecure coding patterns and flawed design assumptions
  • Uncoveringcrosslayerattack paths spanning silicon, firmware, and system software

ApplyAIassistedcode reasoning andlargescaleanalysisto:

  • Rapidly analyze large firmware and platform codebases
  • Explore edge cases, rare failure modes, and adversarial scenarios
  • Assess security impact of design choices and implementation tradeoffs
  • Drivefirmwarefocusedthreat modeling, enhanced by AI tools that broaden coverage,identifyemergent risks, and reduce reliance on manual enumeration alone.
  • Define and ownfirmware security architecture specifications, informed directly by insights fromAIdrivensecurity discovery rather than policy orchecklistonlyapproaches.
  • Partner deeply withSoC architects, silicon designers, firmware engineers, and OS/virtualization teamsto translate discovered risks into concrete mitigations and architectural guidanceand specifications.
  • Shape platform and product security roadmaps byidentifyingsystemic firmware and SoC risks revealed throughAIscaleanalysisacross multiple products and generations.
  • Mentor senior engineers and architects, settingbest practices forAIenabledsecurity discovery, analysis, and review.

What Success Looks Like:

  • Client and Data Center SoCs ship withresilient firmware security architectures grounded in real analysis.
  • AIdriven security capabilities definition becomes acore pillar of firmware and SoC security practice, not a supplemental tool across multiple domains. (PMC, ESE, Punit, MCHECKetc)
  • Firmware and platform security issues aresystematically discovered earlier, with broader and deeper coverage than traditional review methods.
  • Engineering teams rely on this role as theauthoritative voice on firmware security and AIenabled security discovery strategies.

Other Work Location: Israel

Qualifications:

Qualifications:

  • Bachelor's orMaster's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • Extensive experience (typically 10+ years) inClient and/or Data Center platform or firmware security architecture.
  • Handsonexperienceof 2+yearsusingAIbasedtools specifically forcode generation andsecurity discovery, such as:
    • AIassistedstatic and semantic codegeneration andanalysis
    • Automated vulnerability discovery and reasoning over complex code paths
    • dentification of insecure patterns and architectural weaknesses using AI
  • 5+ yearssystemlevelprogramming skills (e.g., C/C++, Rust) and security automation, validation(e.g., Python) .

Preferred Qualifications

  • Experience definingSoC, IP, or platform architecture specificationsconsumed across multiple teams or products.
  • Proventrack recordof discovering or preventingcritical firmware orplatformlevelsecurity issuesbefore production.
  • Experience scalingAIdrivensecurity discoveryacross large, shared firmware or platform codebases.
  • Familiarity with Client and Data Center security technologies, including confidential computing andvirtualizationbasedsecurity.
  • Recognized influence as atechnical leaderwithin a large organization or industry ecosystem.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Arizona, Phoenix, US, California, Folsom, US, California, Santa ClaraBusiness group:Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.Posting 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 TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.Benefits

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: $190,610.00-361,480.00 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.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

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