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Remote Gpu Engineer Jobs in Oregon (NOW HIRING)

Armada

Distinguished Engineer / Technical Fellow

OR · On-site +1

Location: Bellevue, WA / San Francisco, CA / Remote What You'll Do (Key Responsibilities ... Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI ...

Nvidia

Senior Field Application Engineer, ODM Support

OR · On-site +1

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Provide primarily onsite technical support, with remote and travel-based support as business needs ...

Nvidia

Senior Field Application Engineer, ODM Support

OR · On-site +1

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Provide primarily onsite technical support, with remote and travel-based support as business needs ...

Nvidia

Manager, First Time Deployment - NVIS

OR · On-site +1

Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap ... We are open to remote work location and look forward to have you join our team Your base salary ...

Armada

Electrical Design Engineer

OR · On-site +1

... GPU clusters to large-scale multi-unit campuses at up to 400 kW/rack. Armada needs an Electrical ... This role is remote. What You'll Do (Key Responsibilities) * Develop and maintain electrical ...

Nvidia

Manager, Solutions Architecture - AI Labs

OR · On-site +1

Partner with GPU and Network Systems Engineering, Product Management, and Sales to influence ... We are open to remote work locations and look forward to have you join our team. NVIDIA is widely ...

Nvidia

Solutions Architect, Energy OT and Industrial AI

OR · On-site +1

$63 - $83/hr

Engaging with internal developers, researchers, data scientists, and senior leaders is vital and ... Define and deliver high-value, GPU-accelerated AI solutions for energy operations that meet these ...

Nvidia

Senior Solutions Architect, Generative AI

OR · On-site +1

... engineering, or a related technical role. Deep understanding of Linux systems, distributed computing, GPU architectures, and the hardware and software components of large-scale AI clusters. Hands-on ...

Liftoff

Software Engineer, Serving

OR · On-site +1

... GPU-powered inference, as well as large-scale, low-latency distributed data stores. * Develop and ... This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA ...

Cresta

Senior Infrastructure Engineer/SRE

OR · On-site +1

$108K - $147K/yr

Experience with GPU-enabled clusters is a bonus. * Production experience with Kubernetes templating ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Near AI

LLM Inference Engineer

OR · On-site +1

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... Deep knowledge of state-of-the-art GPU architectures, and effectively exploit them using PyTorch ...

Nvidia

Senior Structural Test Engineer

OR · On-site +1

$100K - $136K/yr

... of the GPU in 1999. As we continue to grow, we are seeking top talent to help drive further ... role does not offer remote or hybrid arrangements). We offer competitive salaries and a ...

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

Practical experience optimizing ML workflows using CUDA/GPU acceleration. * Background in feature ... Remote-US Time zone requirements The team operates on the East/West coast time zones. Travel ...

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Remote Gpu Engineer information

What is a remote GPU engineer?

Remote GPU Engineers are specialized software or hardware engineers who work primarily with Graphics Processing Units (GPUs) from a remote location. They focus on designing, optimizing, and maintaining GPU-based systems for applications such as machine learning, high-performance computing, and graphics rendering. These professionals often collaborate with teams virtually, leveraging cloud-based GPU resources and remote access tools. Their work enables companies to efficiently utilize GPU technology without requiring engineers to be on-site.

What are the key skills and qualifications needed to thrive as a remote GPU engineer?

To thrive as a Remote GPU Engineer, you need strong expertise in GPU architectures, parallel programming (CUDA/OpenCL), and a solid background in computer science or engineering. Familiarity with tools like CUDA Toolkit, performance profilers, and version control systems, as well as experience with relevant certifications, is typically required. Excellent problem-solving abilities, communication skills, and the capacity to collaborate effectively in remote, distributed teams are standout soft skills. These competencies ensure efficient GPU solution development, effective troubleshooting, and seamless teamwork in a remote engineering environment.

What are some common challenges faced by remote GPU engineers when collaborating with distributed teams?

Remote GPU Engineers often work with global teams, which can present challenges such as coordinating across different time zones, ensuring consistent communication, and managing access to high-performance hardware remotely. To overcome these hurdles, it's important to leverage collaboration tools, maintain clear documentation, and establish regular check-ins. Additionally, using remote desktop solutions and cloud-based GPU environments can help facilitate smoother development and debugging processes.

What are the most commonly searched types of Gpu Engineer jobs in Oregon?

The most popular types of Gpu Engineer jobs in Oregon are:

What are popular job titles related to Remote Gpu Engineer jobs in Oregon?

For Remote Gpu Engineer jobs in Oregon, the most frequently searched job titles are:

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The top searched job categories for Remote Gpu Engineer jobs in Oregon are:

What cities in Oregon are hiring for Remote Gpu Engineer jobs?

Cities in Oregon with the most Remote Gpu Engineer job openings:

Remote Gpu Engineer jobs near you

Senior GPU Performance Software Engineer

Hillsboro, OR • On-site, Remote

Intel
Manufacturing • 10K+ employees
Learn more about Intelexternal

$195K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago

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: 

About the Role

The Software and AI (SAI) organization is seeking a highly skilled software engineer to contribute to the development and low-level optimization ofoneDNN, a complex, cross-platform, open-source performance library that serves as the foundation for deep learning applications (github.com/uxlfoundation/oneDNN).
Please Note:This is a low-level software engineering and hardware-acceleration role. It does not involve building, training, or tuning machine learning models. Instead, you will focus on developing highly optimized math primitives, parallel algorithms, and GPU kernels that power industry-leading AI frameworks (such as OpenVINO, TensorFlow, PyTorch, and ONNX Runtime) on Intel hardware.
Key Responsibilities
Kernel Development and Architecture
  • Develop high-performance GEMM, convolution, and attention kernels for AI workloads
  • Design scalable JIT and codegen infrastructure for GPU kernel generation
Low-Level Optimization
  • Implement fusion and memory-traffic optimizations to maximize hardware utilization
  • Optimize mixed-precision and quantized execution paths (e.g., BF16, FP16, INT8, FP8, FP4, etc.)
Performance Modeling and Profiling
  • Build analytical and empirical performance models for kernel dispatch and tuning
  • Profile and eliminate performance bottlenecks across oneDNN GPU primitives and runtime paths
Hardware and Software Co-Design
  • Co-design GPU primitives and kernel architectures for next-generation Intel GPUs
  • Partner with hardware and compiler teams to shape future accelerator capabilities and software stacks
Infrastructure and Validation
  • Improve validation, benchmarking, and CI infrastructure for performance-critical GPU workloads
Why Join Us
Massive Scale
  • Work on a global, high-impact open-source library that scales AI performance across millions of devices worldwide
Cutting-Edge Hardware
  • Get early access to and influence the software stack for Intel's roadmap of next-generation discrete GPUs
Expert Collaboration
  • Work alongside industry-leading experts in GPU compilers, hardware architecture, and performance libraries
Total Rewards
  • Enjoy a competitive package including stock programs, quarterly bonuses, robust healthcare, and highly flexible hybrid/remote working options
What We're Looking For
To be successful in this role, you should demonstrate the following professional traits:
  • A strong ownership mindset - you take initiative on complex, ambiguous technical problems and drive them to resolution
  • A collaborative approach - you work effectively across hardware, compiler, and framework teams to align on shared technical goals
  • A performance-driven curiosity - you are motivated by squeezing every cycle out of hardware and continuously seek deeper understanding of low-level systems
Qualifications:
Minimum Qualifications
  • Education:BSc, MSc, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, or a highly technical related field
  • Core Language:5+ years of professional software development experience with expert-level modern C++
  • Performance Optimizations:2+ years of hands-on experience in programming and kernel optimization on GPUs (via SYCL/DPC++, OpenCL, CUDA, or HIP), or at least 5+ years of similar low-level performance optimization experience on CPUs
  • Hardware Architecture:Strong foundations in computer architecture, cache hierarchies, memory subsystems, and parallel programming paradigms (e.g., multi-threading, SIMD/vectorization)
Preferred Qualifications
  • Math Libraries:Experience developing high-performance math libraries (e.g., GEMM, convolution, reduction, or FFT kernels)
  • Low-Level Tuning:Hands-on experience with GPU assembly-level tuning or compiler optimization
  • Parallel APIs:Familiarity with parallel programming APIs such as OpenMP or oneTBB
  • AI Workload Context:Basic understanding of deep learning primitives (e.g., forward/backward passes) to understand how library code is utilized by upstream frameworks
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa ClaraPosting 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: $195,200.00-275,580.00 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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