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Freelance 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

About Workato Workato is the leading Control and Execution Platform for Enterprise AI -- the ... Role Overview As a Senior Infrastructure Engineer , you'll be part of the team responsible for the ...

Bishop Fox

Infrastructure Engineer

OR · On-site +1

$107K - $140K/yr

Who You Are and What You'll Do As an Infrastructure Engineer, you are a service owner who designs ... Use AI-assisted development tooling and support the internal AI services the IT team operates

Nvidia

Senior Software Engineer, DGX Cloud AI Infrastructure

OR · On-site +1

$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 ...

Nvidia

Senior Software Engineer, DGX Cloud AI Infrastructure

OR · On-site +1

$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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Freelance Ai Infrastructure Engineer information

What is the difference between Freelance Ai Infrastructure Engineer vs Freelance Data Engineer?

AspectFreelance Ai Infrastructure EngineerFreelance Data Engineer
Required SkillsAI infrastructure setup, cloud platforms, machine learning deploymentData pipelines, ETL processes, database management
Work EnvironmentCloud environments, AI/ML platforms, collaborative teamsData warehouses, cloud services, analytics tools
CertificationsCloud certifications (AWS, GCP), AI/ML certificationsData engineering certifications, cloud certifications
Industry UsageAI product development, ML model deploymentData analysis, reporting, data-driven decision making

While both roles involve cloud and data skills, Freelance Ai Infrastructure Engineers focus on deploying and maintaining AI systems and infrastructure, whereas Freelance Data Engineers specialize in building data pipelines and managing data storage. The roles often overlap in cloud platform usage but differ in core responsibilities and project focus.

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Freelance Ai Infrastructure Engineer jobs near you

AI Infrastructure Engineer

Intel

Hillsboro, OR

$170K - $315K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Own the end-to-end optimization pipeline for running large language models on Intel GPUs.

  • Profile, diagnose, and resolve cross-stack performance bottlenecks, and develop custom GPU kernels for critical attention mechanisms and other components.

  • Upstream architectural improvements and hardware backends into open-source inference frameworks and collaborate with hardware and compiler teams to shape future GPU roadmaps.

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 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

Pay

Benefits

Hours and flexibility

Workplace

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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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