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Kernel Jobs in Oregon (NOW HIRING)

Cisco

Principal Tetragon Software Engineer

OR · On-site +1

$134K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leveraging the power ofeBPF, Tetragon provides low-overhead, in-kernel visibility and intelligence across diverseenvironments. AsaPrincipal Engineer, you will be at the forefront of advancing ...

TecTammina

Firmware Developer

Hillsboro, OR · On-site

Company Description First IT Solutions Atleast 7-8 years of C/C++ development experience in embedded Linux environment low level kernel OS subsystems Multi-threaded environment such as Linux* and ...

Ethernovia, Inc.

Sr. Embedded Software/Firmware Engineer

OR · On-site +1

$180K - $240K/yr

  • Medical

  • Dental

  • Vision

Embedded Firmware, kernel/user mode device drivers , stack extensions, debug, and test utilities, as well as automated unit/system testing. The drivers will integrate with the Communication Stack of ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks. * Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents. * Experience developing ...

Intel

Systems and Solutions Engineer

Hillsboro, OR · On-site

$122K - $172K/yr

  • Medical

  • Retirement

  • PTO

Contribute across the full IPU lifecycle, including board and platform bring up, low-level device initialization, OS driver and kernel configuration, system management, feature enablement, use case ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks. * Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents. * Experience developing ...

Netflix

Software Engineer (L6), Platform Security

OR · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Implement security enhancements using a variety of methods such as kernel and user-space development, configuration changes, or leveraging hardware-based security features such as TPMs and hardware ...

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Showing results 21-40

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 Aug 16, 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?

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 August 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $155,060 per year, or $74.5 per hour.

AI Accelerator Software Principal Engineer - NPU Full-Stack Integration

Ampere Computing LLC

Portland, OR • On-site

$182K - $273K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the Role
As an AI Accelerator Software Principal Engineer - NPU Full-Stack Integration, you will lead the design and delivery of high-performance, low-latency deep learning inference solutions on the Arm® Ethos™-U85. You'll help advance Ampere's AI software stack by enabling models with performance and efficiency requirements
You will operate at the intersection of software engineering, performance engineering, and hardware-aware optimization, contributing to the full stack from model execution to accelerator-ready kernel performance.
What You'll Achieve:
  • End-to-end deep learning performance acceleration
    Go deep into the full software/hardware execution stack, including:
    • framework integration layers
    • compiler and graph/runtime support
    • runtime libraries and user-mode execution paths
    • compute kernel development
    • profiling, benchmarking, and performance tuning
  • Model enablement with quality and speed
    Improve both performance and accuracy for models using popular frameworks, helping deliver production-ready inference behavior in edge devices.
  • Hardware/software co-design and optimization
    Partner with hardware and platform teams to co-optimize AI execution for better outcomes:
    • increased throughput
    • reduced latency
    • improved scalability
    • better resource utilization (compute/memory/IO)
    • higher sustained performance under realistic workloads
  • Build state-of-the-art AI software components
    Contribute to the development of software and hardware AI co-processors/accelerators, delivering reusable libraries, optimized execution paths, and robust integration with existing tooling.
  • Cross-functional collaboration
    Work closely with cross-functional teams (compiler/runtime, kernels, platform, and product engineering) to integrate AI capabilities into Ampere's cloud-native processor platforms and accelerators.

About You:
  • Education and Experience: BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience; or MS degree & 6 years; or PhD & 3 years.
  • Understands AOT (Ahead-Of-Time) compilation path in popular frameworks like PyTorch and deployment path like execuTorch in edge environment
  • Linux + accelerator/runtime expertise (preferred): Experience with developing user-mode drivers, runtime libraries, or low-level integration for GPUs or deep learning accelerators in Linux is a plus.
  • Strong systems programming & performance skills:
    • Expert in Python and C/C++
    • Strong background in performance profiling and tuning (latency/throughput, memory behavior, kernel efficiency)
  • Deep ML understanding: Solid understanding of AI/ML concepts including neural networks and data processing frameworks. Experience with modern deep model architectures such as Transformers and Diffusion models is preferred.
  • Modern AI tooling fluency (preferred): Fluent with modern AI programming tools such as Codex or Claude Code, and comfortable accelerating development workflows.
What We'll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
  • Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
  • Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
  • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-Hybrid
#LI-Hybrid #LI-DR
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

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