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Remote Image Processing Scientist Jobs in Oregon

... SQL), remote connectivity, security and digital medical image processing. * Previous DR installation and x-ray room experiences knowledge of Agfa software or similar industry and a demonstrated ...

Data Scientist

OR · On-site +1

... processes. * Proficient in data mining, statistical modeling, and AI-driven forecasting techniques ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Senior Software Engineer, Storage Infrastructure

OR · On-site +1

$122K - $161K/yr

This is a full-time, remote position based in the United States. If located near an office, you are ... Extend and improve services for internal data search and image processing * Operate and tune ...

Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Implement processes to monitor machine learning models in production, detecting bias or performance ... Remote

San Carlos, CA or Remote, USA (West Coast or Mountain time zones preferred) PRIMARY ... Contribute to process improvements and development of best practices Drive Data Review & Strategic ...

Advance multimodal synthetic data generation - image, document, video, and audio - in partnership ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Candidates will receive additional information during the interview and selection process. Position ...

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Remote Image Processing Scientist information

What is a remote image processing scientist?

A Remote Image Processing Scientist is a professional who specializes in analyzing and interpreting images using advanced computational techniques, often working from a remote location. They process and enhance digital images, such as satellite photos, medical scans, or photographs, using algorithms and software tools. Their work may involve developing new image analysis methods, improving image quality, and extracting meaningful data for various applications like remote sensing, healthcare, or security. Remote Image Processing Scientists typically have backgrounds in computer science, engineering, or related fields, and are skilled in programming, mathematics, and data analysis.

What are some common challenges faced by remote image processing scientists when collaborating with cross-functional teams?

Remote Image Processing Scientists often work with diverse teams, including software engineers, data scientists, and project managers. A common challenge is ensuring clear communication of complex technical concepts, especially when team members have varying levels of expertise in image processing. Additionally, aligning on project goals and integrating image processing workflows with broader system architectures can require extra coordination in a remote setting. Proactively scheduling regular meetings and using collaborative tools can help bridge these gaps and foster effective teamwork.

What are the key skills and qualifications needed to thrive as a remote image processing scientist, and why are they important?

To thrive as a Remote Image Processing Scientist, you need a solid background in computer vision, image analysis, and strong programming skills, generally supported by a degree in computer science, electrical engineering, or a related field. Expertise in tools such as Python, MATLAB, OpenCV, and familiarity with machine learning frameworks and cloud computing platforms is typically required. Strong problem-solving abilities, self-motivation, and effective communication are important soft skills, especially when working in remote or distributed teams. These skills ensure the development of robust image processing solutions, efficient collaboration, and the ability to adapt to evolving project requirements.

What is the difference between Remote Image Processing Scientist vs Remote Computer Vision Engineer?

AspectRemote Image Processing ScientistRemote Computer Vision Engineer
Required CredentialsMaster's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithmsBachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries
Work EnvironmentResearch-focused, often in R&D teams, developing new image processing techniquesDevelopment-focused, implementing and deploying computer vision models in products
Employer & Industry UsageTech companies, research labs, healthcare, automotiveTech firms, autonomous vehicles, robotics, security systems

While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.

What are the most commonly searched types of Image Processing Scientist jobs in Oregon?

The most popular types of Image Processing Scientist jobs in Oregon are:

What are popular job titles related to Remote Image Processing Scientist jobs in Oregon?

For Remote Image Processing Scientist jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Image Processing Scientist jobs in Oregon look for?

The top searched job categories for Remote Image Processing Scientist jobs in Oregon are:

Infographic showing various Remote Image Processing Scientist job openings in Oregon as of August 2026, with employment types broken down into 3% Internship, 76% Full Time, 12% Part Time, and 9% Contract. Highlights an 21% In-person, 2% Hybrid, and 77% Remote job distribution.

Senior Software Engineer - Image and Data Processing Libraries

Nvidia

OR • On-site, Remote

$122K - $161K/yr

Full-time

Posted 6 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Projects like nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide.

In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you.

What you'll be doing: developing scalable library software using modern tools and languages for various numerical method performance tuning, optimization, and benchmarking of algorithms on various architectures. working closely with product management and other internal and external partners to understand feature and performance requirements and contributing to the technical roadmaps of libraries, providing technical leadership and guidance to library engineers working with you, find opportunities to improve library performance and abstractions that allow to re-architect code for reduced maintenance cost. What we need to see: PhD or MSc's degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).

12+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA Excellent C/C++ programming and software design skills Proven experience in leading and completing software development projects. Excellent collaboration, communication, and documentation habits. Ways to stand out from the crowd: Good knowledge of CPU and/or GPU hardware architecture, Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA, Experience with working in a globally distributed organization, Advanced skills in debugging, profiling, and testing for accuracy and performance, A scripting language, preferably Python.

NVIDIA is 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. If you're creative and autonomous, we want to hear from you.

#LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 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