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From Home Windows Kernel Developer Jobs in Kent, WA

USM

Windows Phone developer

Seattle, WA

Windows Phone developer Duration: 2 years Location: Seattle, WA Need GC and USC Required Skills ... On a daily basis, they will be given use cases from the Security Architecture Team and asked to ...

Nvidia

System Software Engineer - GPU and SOC

Redmond, WA · On-site

$193K - $229K/yr

As a GPU/SOC system software engineer, you will work with a team of very dedicated software and ... Kernel experience on Linux or Windows systems Ways to stand out from the crowd: * Background and ...

Nvidia

System Software Engineer - GPU and SOC

Redmond, WA · On-site

$193K - $229K/yr

As a GPU/SOC system software engineer, you will work with a team of very dedicated software and ... Kernel experience on Linux or Windows systems Ways to stand out from the crowd: Background and ...

Microsoft

Principal Software Engineer

Redmond, WA · On-site

$151K - $202K/yr

Develop kernel and user mode components for Windows to enhance diagnostic and debugging ... platforms from initial bring-up through production readiness. Qualifications Required ...

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All JobsWindows Kernel Developer JobsFrom Home Windows Kernel Developer JobsFrom Home Windows Kernel Developer Jobs in Kent, WA

From Home Windows Kernel Developer information

See Kent, WA salary details

$68.3K

$152.4K

$252.3K

How much do from home windows kernel developer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for from home windows kernel developer in Kent, WA is $152,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $180,600.00 per year, depending on experience, location, and employer.

What is the difference between From Home Windows Kernel Developer vs From Home Device Driver Developer?

AspectFrom Home Windows Kernel DeveloperFrom Home Device Driver Developer
Required CredentialsBachelor's in Computer Science, Windows certification, experience in kernel developmentBachelor's in Computer Engineering, embedded systems knowledge, driver development experience
Work EnvironmentRemote, software development teams, Windows OS focusRemote or on-site, embedded systems or hardware teams, driver programming
Industry UsageOperating system development, software companies, tech firmsHardware manufacturers, embedded systems, IoT companies
Search & Comparison IntentJob roles involving Windows kernel programmingRoles focused on device driver creation and maintenance

While both roles involve low-level system programming, From Home Windows Kernel Developer primarily focuses on developing and maintaining the Windows operating system kernel, whereas From Home Device Driver Developer specializes in creating drivers for hardware devices. Both require technical expertise, but their applications and environments differ significantly.

What are popular job titles related to From Home Windows Kernel Developer jobs in Kent, WA?

For From Home Windows Kernel Developer jobs in Kent, WA, the most frequently searched job titles are:

What job categories do people searching From Home Windows Kernel Developer jobs in Kent, WA look for?

The top searched job categories for From Home Windows Kernel Developer jobs in Kent, WA are:

From Home Windows Kernel Developer jobs near you

Senior Inference Engineer, GPU Kernel Optimization

Seattle, WA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$139K - $183K/yr

Full-time

Re-posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We're now looking for a Sr. Inference Engineer, for GPU Kernel Optimization! What does it take to push every LLM inference operation to its performance ceiling? Our LLM Inference Performance Analysis and Optimization team builds the answer from the ground up. We develop silicon-measured kernel benchmarking infrastructure, model-level performance projection tooling, and agentic optimization systems that improve GPU kernels at the assembly layer. Our team works closely with compiler, kernel, hardware, and framework organizations across NVIDIA to surface bottlenecks and ship measurable gains. If driving GPU performance at the frontier of LLM inference sounds like your kind of challenge, we'd love to meet you!

What you'll be doing:

The role drives three interconnected systems, all aimed at accelerating NVIDIA's LLM inference stack. The first is GPU kernel microbenchmarking: measuring competing kernel implementations at real-silicon fidelity across the full configuration space that production LLM deployments demand. The second is end-to-end model performance analysis: connecting performance evidence to model-level serving economics, surfacing high-value optimization opportunities, and producing optimization policies for production inference deployments. The third is agentic kernel optimization: applying AI-driven analysis to diagnose performance gaps, explore optimization opportunities across the kernel ecosystem, and validate findings with rigorous silicon measurements. All three streams converge in close collaboration with compiler, hardware, kernel, and framework teams to deliver upstream improvements and production-grade performance gains.

What we need to see

  • Master's or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience.

  • 6+ years of relevant industry experience.

  • Experience building or directing agentic AI systems - code generation, automated optimization, or multi-step reasoning workflows.

  • Strong Python and C++ skills with proven software engineering fundamentals.

  • Hands-on GPU profiling with CUPTI, NSYS, and NCU; proven track record to attribute bottlenecks across kernel execution, compiler decisions, and runtime scheduling.

  • Direct experience with LLM inference frameworks such as TRT-LLM, SGLang, or vLLM and clear understanding of how kernel selection drives model-level throughput and latency.

  • Working knowledge of GPU kernel optimization - CUDA, CUTLASS, Triton, or equivalent - and the ability to read PTX or SASS output.

Ways to stand out from the crowd

  • Deep knowledge of SASS/PTX-level kernel analysis, compiler middle-end optimization, or GPU code generation pipelines (LLVM, MLIR, ptxas, or similar).

  • Track record shipping agentic systems end-to-end - tool invent, multi-agent orchestration, and silicon-verified validation - within a performance engineering or kernel optimization context.

  • Active contributions to open-source LLM inference or GPU kernel libraries (FlashInfer, Triton, CUTLASS, or similar).

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 31, 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

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