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Remote Medical Physics Jobs in Portland, OR (NOW HIRING)

We use national average to determine pay as we are a remote first company. Individual pay is based ... We provide medical, dental and vision coverage including zero cost plans for employees. Short Term ...

Remote Medical Physics information

What is remote medical physics?

A Remote Medical Physics job involves providing medical physics services, such as radiation therapy planning, quality assurance, and compliance, from a remote location. Using cloud-based software, remote access tools, and teleconferencing, medical physicists can support healthcare facilities without being on-site. This role is ideal for professionals who want flexibility while ensuring that patients receive accurate and safe treatments. It is commonly found in telehealth, teleradiology, and consulting services, where experts assist multiple clinics or hospitals remotely.

What skills and qualifications are needed for remote medical physics?

To excel as a Remote Medical Physics professional, you need a solid background in medical physics, radiation safety, and dosimetry, typically supported by a master's or doctoral degree and appropriate board certification (such as ABR or CCPM). Familiarity with treatment planning systems, PACS, specialized QA software, and telemedicine platforms is essential. Excellent problem-solving, self-management, and communication skills distinguish those who can work independently while collaborating effectively with clinical teams. These skills are vital for delivering high-quality patient care and ensuring regulatory compliance, even when working off-site.

What are common challenges faced by remote medical physicists, and how can they be addressed?

Remote medical physicists often face challenges such as coordinating with onsite clinical staff, troubleshooting technical issues from a distance, and maintaining seamless communication with multidisciplinary teams. To address these, successful remote physicists leverage secure teleconferencing tools, establish clear protocols for digital collaboration, and schedule regular check-ins to ensure alignment on workflows. Familiarity with hospital information systems and strong documentation practices are also key. By staying well-organized and proactively communicating, remote physicists can provide effective support and maintain high standards of patient safety and quality.

What are the most commonly searched types of Medical Physics jobs in Portland, OR?

The most popular types of Medical Physics jobs in Portland, OR are:

What are popular job titles related to Remote Medical Physics jobs in Portland, OR?

For Remote Medical Physics jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Medical Physics jobs in Portland, OR look for?

The top searched job categories for Remote Medical Physics jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Medical Physics jobs?

Cities near Portland, OR with the most Remote Medical Physics job openings:

Infographic showing various Remote Medical Physics job openings in Portland, OR as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution.

Senior GPU Performance Software Engineer

Intel

Hillsboro, OR • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Retirement, PTO

Posted 12 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.

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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