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Remote Computer Science Artificial Intelligence Jobs in Oregon

Nvidia

Senior DGX Cloud AI Infrastructure Software Engineer

OR · On-site +1

$108K - $147K/yr

Bachelor's degree or higher in Computer Science or a related technical field (or equivalent ... science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

Senior DGX Cloud AI Infrastructure Software Engineer

OR · On-site +1

$108K - $147K/yr

Bachelor's degree or higher in Computer Science or a related technical field (or equivalent ... science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

Solutions Architect, HPC Systems Engineer

OR · On-site +1

$63 - $83/hr

Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software ... Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent ...

Axiom Talent Platform

Patent Counsel

OR · On-site +1

$309K/yr

Computer Science / Software * Artificial Intelligence * Energy Storage & Battery Technologies * Electrical Engineering * Life Sciences * Excellent written communication and technical drafting skills.

Symbotic

Senior Business Intelligence Engineer

OR · On-site +1

$51 - $66.25/hr

What you'll need * Bachelor's degree in Computer Science, Computer Engineering, Information ... Remote. Up to 10% travel may be required to client and customer locations; a valid driver's license ...

Nvidia

Senior Software Engineer, Open Harness Engineering

OR · On-site +1

$122K - $161K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience. 8+ years of hands-on software-engineering experience, with ...

Nvidia

Distinguished Engineer - Dynamo

OR · On-site +1

What we need to see: BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Artificial Intelligence or a related field. 18+ years of Proven experience in systems software ...

DLH

Lead Data Manager/SAS programmer (Job 1425)

OR · On-site +1

... artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH ... B.S. degree in computer science, health sciences, statistics, data science, or another related ...

Kynite

Enterprise Data Architect

OR · On-site +1

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... Coordinate with the Data Science department to identify future needs and requirements * Provide ...

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Remote Computer Science Artificial Intelligence information

What is a remote computer science artificial intelligence professional?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

How do remote computer science artificial intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.

What are the key skills and qualifications needed to thrive as a remote computer science artificial intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

What is the difference between Remote Computer Science Artificial Intelligence vs Remote Data Science?

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

What are popular job titles related to Remote Computer Science Artificial Intelligence jobs in Oregon?

For Remote Computer Science Artificial Intelligence jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Artificial Intelligence jobs in Oregon look for?

The top searched job categories for Remote Computer Science Artificial Intelligence jobs in Oregon are:

Remote Computer Science Artificial Intelligence jobs near you
Infographic showing various Remote Computer Science Artificial Intelligence job openings in Oregon as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% Remote job distribution.

Senior DGX Cloud AI Infrastructure Software Engineer

OR • On-site, Remote

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

$108K - $147K/yr

Full-time

Re-posted 9 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

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on developing tools for optimizing efficiency and resiliency of AI workloads - pre-training, post-training, inference. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI infrastructure that enable large-scale AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of AI systems.

As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science and be part of a dynamic, diverse, and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now!

What you'll be doing:

  • Develop infrastructure software and tools for large-scale pre-training, post-training, and inference.

  • Develop and optimize tools and libraries to improve infrastructure efficiency and resiliency.

  • Co-design and implement APIs for integration with NVIDIA's resiliency stacks.

  • Enhance infrastructure and products underpinning NVIDIA's AI platforms.

  • Define meaningful and actionable reliability metrics to track and improve system and service reliability.

  • Skilled in problem-solving, root cause analysis, and optimization.

  • Root cause and analyze and triage failures from the application level to the hardware level

What we need to see:

  • Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems.

  • Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).

  • Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level.

  • Experience with observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).

  • Proven track record in building and scaling large-scale distributed systems.

  • Experience with AI training and inferencing infrastructure services.

  • Proficiency in programming languages such as Python, C/C++, script languages

  • Experience in quality software engineering practices, including test development, defensive programming, version control, and CI.

  • Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.

Ways to stand out from the crowd:

  • Background in working with the large scale clusters

  • Experience in defining and building observability and telemetry software stack

  • Experience with RDMA software stack (NCCL, IB verbs, ucx, libfabrics)

  • Experience and root cause analysis of failures and datacenter scale

  • Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray

NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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

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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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