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Remote Computer Science Artificial Intelligence Jobs in Oregon

Nvidia

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

What we need to see: * BS or higher degree in computer science, computer engineering, or a related ... science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

What we need to see: BS or higher degree in computer science, computer engineering, or a related ... science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

Senior Software Engineer, Object Storage - DGX Cloud

OR · On-site +1

$122K - $161K/yr

... Science in Computer Science, or related field or equivalent experience 8+ yrs of relevant ... science fiction inventions from artificial intelligence to autonomous cars. We are looking for ...

New

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Data Analytics/Business Intelligence Job Schedule: Full time Remote: No POSITION: Data Scientist I ... POSITION SUMMARY Data Scientists are responsible for the development and maintenance of Artificial ...

Nvidia

Senior ASIC Power Engineer

OR · On-site +1

... Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars ...

Nvidia

Senior Software Architect - Data Center Systems

OR · On-site +1

$129K - $175K/yr

Excellent written and verbal communication skills. * BS or MS degree in Computer Engineering ... science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Nvidia

Senior Software Architect - Data Center Systems

OR · On-site +1

$129K - $175K/yr

Excellent written and verbal communication skills. BS or MS degree in Computer Engineering ... science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for ...

Sargent & Lundy

Lead Power Systems Engineer 2

Portland, OR · On-site +1

$134K - $205K/yr

... working remote from home. We are seeking a highly skilled and experienced Lead Electrical ... Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables ...

Nvidia

Senior Developer Technology Engineer - AI

OR · On-site +1

$54.50 - $72/hr

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you ... A Masters degree in Computer Science, Computer Engineering, or related computationally focused ...

Sargent & Lundy

Lead Power Systems Engineer 2

Portland, OR · On-site +1

$134K - $205K/yr

... working remote from home. We are seeking a highly skilled and experienced Lead Electrical ... Computer Science, Artificial Intelligence, Software Engineering, or related fields that enables ...

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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 Performance Engineer - DGX Cloud

OR • On-site, Remote

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

$104K - $143K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

  • Design and execute performance studies to establish baselines, diagnose regressions, and identify bottlenecks.

  • Use profiling, observability, and data analysis to develop actionable optimization plans.

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 advancing the performance, efficiency, and resiliency of large-scale AI workloads. We help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. We are seeking a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join our technically diverse team of infrastructure experts to unlock more efficient AI at scale.

What you'll be doing:

  • Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

  • Design and execute rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.

  • Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.

  • Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.

  • Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

  • Communicate performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.

What we need to see:

  • BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).

  • 12+ years of experience in strong programming skills in C++ and Python, with the ability to build reliable analysis and automation workflows

  • Solid foundation in operating systems, computer architecture, and distributed systems

  • Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems

  • Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams

Ways to stand out from the crowd:

  • Experience analyzing large-scale AI clusters or distributed training and inference workloads

  • Experience with CUDA, GPU computing systems, and GPU performance analysis

  • Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA

  • Deep understanding of system-level performance analysis, workload characterization, and optimization

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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 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

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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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