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Llm Engineer Jobs in Oregon (NOW HIRING)

OR · On-site

$122K - $161K/yr

Designing and implementing extensible abstractions for LLM serving engines * Building efficient just-in-time domain specific compilers and runtimes * Collaborating closely with other engineers at ...

Senior Support Engineer Team: Global Services & Delivery Location: [Remote / Hybrid - specify ... Demonstrated experience building or tuning automation or agentic and LLM-based support tooling, or ...

OR

$107K - $140K/yr

Experience operating LLM/AI-assisted developer tooling at scale (Claude Code, Copilot, or similar ... inside an enterprise is preferred. * Familiarity with Okta/OIDC and enterprise auth patterns for ...

New

As a Staff AI-First Information Security Engineer, you own the intersection of AI adoption and ... Conduct threat modelling on agentic and LLM-based systems, accounting for novel attack surfaces ...

OR · On-site

As a Staff AI-First Information Security Engineer, you own the intersection of AI adoption and ... Conduct threat modelling on agentic and LLM-based systems, accounting for novel attack surfaces ...

The AI Solutions Engineer also ensures solutions are developed in accordance with applicable ... Design, develop, test, deploy, and maintain LLM-powered applications, integrations, and agentic AI ...

MLOps Engineer Location: Portland, OR (Complete Onsite) Note: Client Interview Face to Face Key ... Experience with Generative AI, LLM deployment, or RAG-based applications. * Familiarity with Apache ...

New

Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered ... Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to ...

OR · On-site

$108K - $147K/yr

Experience operating LLM/AI-assisted developer tooling at scale (Claude Code, Copilot, or similar ... inside an enterprise is preferred. * Familiarity with Okta/OIDC and enterprise auth patterns for ...

New

OR · On-site

$104K - $143K/yr

Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered ... Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to ...

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent ... You'll build multi-agent architectures, LLM integrations, and backend services that connect AI ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Showing results 21-40

Llm Engineer information

See Oregon salary details

$26

$56

$81

How much do llm engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for llm engineer in Oregon is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $65.82 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries, often exceeding $200,000 with bonuses and stock options.

What are the key skills and qualifications needed to thrive as an LLM engineer?

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

What are the most commonly searched types of Llm Engineer jobs in Oregon? The most popular types of Llm Engineer jobs in Oregon are:
What cities in Oregon are hiring for Llm Engineer jobs? Cities in Oregon with the most Llm Engineer job openings:
Infographic showing various Llm Engineer job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $117,942 per year, or $56.7 per hour.

Senior Software Engineer, Matrix Multiplication

Nvidia

OR • On-site

$122K - $161K/yr

Full-time

Re-posted 27 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.

What you'll be doing:

  • Innovating and developing new AI systems technologies for efficient inference

  • Designing, implementing, and optimizing kernels for high impact AI workloads

  • Designing and implementing extensible abstractions for LLM serving engines

  • Building efficient just-in-time domain specific compilers and runtimes

  • Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams

  • Contributing to open source communities like FlashInfer, vLLM, and SGLang

What we need to see:

  • Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred

  • 6+ years (academic/ industry) experience with ML/DL systems development preferable

  • Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC.

  • Strong Python and C/C++ programming skills

  • Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar) with hands-on experience with Matrix Multiplication

Ways to stand out from the crowd:

  • Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)

  • Expertise in inference engines like vLLM and SGLang

  • Expertise in machine learning compilers (e.g. Apache TVM, MLIR)

  • Open source project ownership or contributions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993