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Contract Ai Infrastructure Engineer Jobs in Oregon

Intel

AI Infrastructure Engineer

Hillsboro, OR

$170K - $315K/yr

We are looking for a performance-obsessed AI Infrastructure Engineer to push LLM inference to its absolute limits on Intel's next-generation GPU architectures. In this role, you will dive deep into ...

Workato

Senior Infrastructure Engineer (Core Infra, US)

OR · On-site +1

$180K - $240K/yr

You will work closely with engineers in the US and across international teams to design, scale, and ... Build iPaaS and AI infrastructure at scale and cross-cloud. * Manage and provision AWS ...

Meta

OR

$193K/yr

Network Engineer, AI Infrastructure Repair Responsibilities: * Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments ...

SentinelOne

OR · On-site

$107K - $140K/yr

As a Staff AI Platform Engineer, Infrastructure Services, you will be tasked with taking ownership of our AI Gateway infrastructure (built on Kong AI Gateway), the system that authenticates, routes ...

SentinelOne

OR · On-site

$108K - $147K/yr

As a Senior AI Platform Engineer, Infrastructure Services, you will be tasked with taking ownership of our AI Gateway infrastructure (built on Kong AI Gateway), the system that authenticates, routes ...

Nvidia

OR

$108K - $147K/yr

We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI infrastructure that enable large-scale AI training and ...

SentinelOne

OR · On-site

$107K - $140K/yr

Due to Federal Government contract requirements, U.S. Citizenship is required for this position ... AI is redefining how the world operates and rewriting the rules of security in real time, and ...

Nvidia

OR · On-site

$172K - $204K/yr

Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads ... Strong Python and C/C++ programming skills. Ways to stand out from the crowd: * Hands-on experience ...

HealthEdge

$108K - $147K/yr

Cloud Infrastructure & Architecture * Design, build, and maintain AWS and Azure infrastructure ... AI Enabled Engineering * Use AI coding assistants (GitHub Copilot, Claude Code, Cursor) to ...

Upstart

OR · On-site

$142K/yr

Partner with engineering teams to improve the security of AI-assisted developer workflows and GenAI ... Elevate infrastructure security maturity across Upstart by mentoring engineers, influencing senior ...

Nvidia

OR

$122K - $161K/yr

... engineers around them. What you'll be doing: * Lead bring-up, validation, and debugging of large-scale AI clusters, infrastructure, and end-to-end workloads, setting the standard for how the team ...

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Contract Ai Infrastructure Engineer information

What is the difference between Contract Ai Infrastructure Engineer vs Contract Cloud Infrastructure Engineer?

AspectContract Ai Infrastructure EngineerContract Cloud Infrastructure Engineer
Required CredentialsRelevant certifications in AI, cloud platforms, and infrastructureCertifications in cloud platforms, networking, and systems administration
Work EnvironmentAI development labs, data centers, cloud environmentsCloud service providers, enterprise data centers, remote cloud setups
Employer & Industry UsageTech companies, AI startups, research institutionsIT firms, cloud service providers, large enterprises
Common Search & Comparison IntentUnderstanding roles in AI infrastructure projectsComparing cloud infrastructure roles and responsibilities

The Contract Ai Infrastructure Engineer focuses on building and maintaining AI-specific infrastructure, including GPU clusters and AI frameworks, often within AI-focused companies. In contrast, the Contract Cloud Infrastructure Engineer specializes in managing cloud environments, networks, and systems for various enterprise needs. Both roles require cloud and infrastructure knowledge but differ in their focus areas and industry applications.

How much do contract AI infrastructure engineers make?

Contract AI infrastructure engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and project scope. Rates can also be billed hourly, often ranging from $50 to $200 per hour, especially for specialized skills in cloud platforms, hardware, and AI frameworks.
What are the most commonly searched types of Ai Infrastructure Engineer jobs in Oregon? The most popular types of Ai Infrastructure Engineer jobs in Oregon are:
What are popular job titles related to Contract Ai Infrastructure Engineer jobs in Oregon? For Contract Ai Infrastructure Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Contract Ai Infrastructure Engineer jobs in Oregon look for? The top searched job categories for Contract Ai Infrastructure Engineer jobs in Oregon are:
What cities in Oregon are hiring for Contract Ai Infrastructure Engineer jobs? Cities in Oregon with the most Contract Ai Infrastructure Engineer job openings:
Contract Ai Infrastructure Engineer jobs near you
Infographic showing various Contract Ai Infrastructure Engineer job openings in Oregon as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Infrastructure Engineer

Intel

Hillsboro, OR

$170K - $315K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers

Job description

Job Details:Job Description: 

We are looking for a performance-obsessed AI Infrastructure Engineer to push LLM inference to its absolute limits on Intel's next-generation GPU architectures.
In this role, you will dive deep into the inference stack and redefine peak performance. You will work end-to-end across the stack: profiling bottlenecks, writing custom GPU kernels, and upstreaming your optimizations directly into industry-standard serving frameworks like vLLM and SGLang. Your optimizations will be instrumental in unlocking the full potential of Intel hardware for state-of-the-art generative AI workloads.
What You Will Do
Drive Inference Performance: Own the end-to-end optimization pipeline for running state-of-the-art LLMs on Intel GPUs.
Deep Stack Optimization: Profile, diagnose, and resolve cross-stack performance bottlenecks.
Kernel Development and Integration: Design, write, and optimize custom high-performance kernels for critical attention mechanisms, MoE, quantization, and operator fusions.
Open Source Leadership: Upstream your architectural improvements and hardware backends directly into open-source repositories like vLLM, SGLang, and PyTorch, acting as a bridge between the hardware teams and the open-source community.
Shape the Hardware Roadmap: Apply roofline analysis and systematic profiling to decompose bottlenecks. You will partner with our architecture and compiler teams to shape future GPU roadmaps based on real-world GenAI workload data.

Show passion about AI infrastructure and performance optimization.

Qualifications:

Minimum Qualifications

Bachelors Degree in Computer Science, Software Engineering, Artificial Intelligence/Machine Learning, or related field and 4+ years experience, Masters Degree and 3+ years, OR PhD.
3+ years of relevant software engineering experience in GPU computing, AI systems, or high-performance computing (HPC).
Proficiency in modern C++ and Python. You are comfortable reading and modifying complex systems-level code.

Preferred Qualifications
Understanding of CPU/GPU architecture.
Understanding of modern LLM architectures and inference paradigms: attention mechanisms, KV caching, continuous batching, speculative decoding, and prefill-decode disaggregation.
Prior open-source contributions to inference engines (vLLM, SGLang, PyTorch, llama.cpp).
Hands-on experience writing and optimizing custom GPU kernels using Triton, SYCL, CUDA/CUTLASS, or other DSLs.
Experience with scale-out inference orchestration across multi-node topologies.
You leverage AI coding agents daily to accelerate your own workflow and benchmark generation.
Your expertise will play a vital role in advancing Intel's AI technology. We invite you to bring your skills, experience, and passion for AI to make an impact-apply today.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, California, Santa ClaraAdditional Locations: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: $170,500.00-315,490.00 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

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Benefits

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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

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