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Kernel Jobs in Oregon (NOW HIRING)

Nvidia

OR · On-site

$104K - $143K/yr

Building strong kernel and domain specific language solutions for state of art kernels in LLM inference workloads * Developing AI-driven solutions to automate the overall development flow. * Co ...

Trimble

Android OS Platform Engineer

Corvallis, OR

Trimble is seeking an expert to join our Mobile Computing Solutions team, where you will take ownership of the full Android platform lifecycle-from kernel to framework-on our next-generation GMS ...

Trimble

Software Engineer

Lake Oswego, OR

LangGraph, Semantic Kernel, MCP protocol, Azure AI Foundry, RAG pipelines, prompt engineering * Cloud/data: Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode ...

Trimble, Inc.

Software Engineer

Lake Oswego, OR · On-site

LangGraph, Semantic Kernel, MCP protocol, Azure AI Foundry, RAG pipelines, prompt engineering * Cloud/data: Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode ...

Nvidia

OR · On-site

$122K - $161K/yr

Background with kernel mode development * Experience with Linux, or Windows Systems Software development Your base salary will be determined based on your location, experience, and the pay of ...

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All JobsKernel JobsKernel Jobs in Oregon

Kernel information

See Oregon salary details

$91.8K

$155.1K

$228.9K

How much do kernel jobs pay per year?

As of Jul 6, 2026, the average yearly pay for kernel in Oregon is $155,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,663.00 and $169,060.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Kernel Engineer?

Kernel Engineers typically spend their days designing, implementing, and maintaining low-level components of an operating system’s kernel, such as device drivers, process schedulers, or memory management subsystems. They often review and refactor code, troubleshoot and resolve bugs, and collaborate closely with hardware engineers, application developers, and QA teams. Participation in code reviews and contributing to open source communities or internal repositories are also common activities. This role requires staying up to date with the latest kernel developments and ensuring code changes are performant and stable, directly impacting the reliability and efficiency of the broader system.

What is a Kernel job?

A Kernel job typically refers to a role focused on developing, maintaining, or optimizing an operating system's kernel—the core component that manages system resources, hardware interaction, and process scheduling. Kernel developers work with low-level programming languages like C and Assembly to improve system performance, security, and stability. These roles often involve debugging kernel crashes, implementing new features, and collaborating with hardware and software teams to ensure seamless integration.

What are the key skills and qualifications needed to thrive in the Kernel position, and why are they important?

To thrive as a Kernel Engineer, you need strong expertise in operating system fundamentals, C/C++ programming, and kernel module development, often supported by a degree in computer science or equivalent experience. Familiarity with Linux kernel source code, debugging tools like GDB, and version control systems such as Git is essential. Analytical thinking, problem-solving skills, and effective communication distinguish outstanding professionals in this field. These skills are crucial for maintaining system stability, ensuring high performance, and collaborating on complex, low-level software projects.

Kernel jobs near you
Infographic showing various Kernel job openings in Oregon as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $155,060 per year, or $74.5 per hour.
Senior ML Compiler Engineer

Senior ML Compiler Engineer

Nvidia

OR • On-site

$104K - $143K/yr

Full-time

Posted 10 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are looking for outstanding ML/DL compiler engineers to join the team and develop groundbreaking technologies in machine learning compilers and AI systems. We build innovative AI compiler solutions that work together with NVIDIA's software stack to provide comprehensive acceleration for modern machine learning models. As a member of the team, you will develop innovative AI compiler technologies for NVIDIA's hardware architecture. You will develop new ML/DL compiler abstractions, build efficient attention runtimes, and ML/DL -compiler driven system solutions to accelerate large language models, agents and other high-impact machine learning workloads. As part of this role, you will be building a close technical relationship with internal NVIDIA software and hardware teams to push the latest developments to NVIDIA's product.

What you'll be doing:

  • Innovate and develop new machine learning compiler and systems technologies

  • Design, implement, and optimize compilers for high impact AI workloads

  • Building strong kernel and domain specific language solutions for state of art kernels in LLM inference workloads

  • Developing AI-driven solutions to automate the overall development flow.

  • Co-design learning system solutions with current and future ML compiler and algorithm technologies.

  • Collaborate closely with other engineering teams at NVIDIA to build high impact solutions for machine learning acceleration

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD are preferred

  • 6+ years (academic/ industry) experience in machine learning systems development - including ML compilers, LLM inference kernels, kernel generations.

  • Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX etc)

  • Strong python and C/C++ programming skills

Ways to stand out from the crowd:

  • Expertise in AI frameworks such as PyTorch, TensorFlow, and ONNX

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

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

  • Strong experience in GPU performance optimizations as well as experience machine learning systems research and productization

  • Open source project ownership or contributions

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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 June 29, 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.
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

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