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Ai For Science Jobs in Oregon (NOW HIRING)

Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field ... This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA ...

A BS, MS, or PhD in Computer Science, AI/ML, Electrical Engineering, Data Science, a related ... Applications for this job will be accepted at least until August 28, 2026. This posting is for an ...

D or Masters in Computer Science, or any of the related fields 6+ years of research experience with ... This job posting is inclusive of a variety of positions within our AI for Member Systems (AIMS ...

Join the Foundational Modeling team at Splunk, where we advance the state of AI for highvolume ... Collaborate with engineering, product, and data science teams to understand requirements ...

Join the Foundational Modeling team at Splunk, where we advance the state of AI for highvolume ... Collaborate with engineering, product, and data science teams to understand requirements ...

Senior Product Manager, HPC and AI for Physics

OR · On-site +1

$126K - $166K/yr

Degree in Physics, Applied Math, Computer Science (Ph.D preferred) or equivalent experience ... This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

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Showing results 1-20

Ai For Science information

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What are the key skills and qualifications needed to thrive as an AI for Science specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Oregon?

For Ai For Science jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Ai For Science job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

Senior Application Engineer, HPC and AI for Physics

Nvidia

OR • On-site, Remote

Full-time

Posted 5 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

We are building the software infrastructure for the next era of scientific discovery. At NVIDIA, we believe AI will transform how new physics for plasmas, lasers, and materials at extreme conditions are discovered. We are developing software tools to make it possible.

We are looking for a Senior Application Engineer who is passionate about HPC+AI for numerical simulations, and physics translating complex research into software that scientists use for real discovery. You will work across research, engineering and product teams. You will translate learnings from research collaborations into feedback to engineering on toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and material physics.

What you'll be doing: Develop workflows for experimental processing/analysis and numerical simulations with applications in imaging science, plasma and high energy physics, and material science Profile the application and run benchmarks to identify bottlenecks and suggestion recommendations to collaborators and product teams Build examples or sample applications for tutorials Represent NVIDIA at leading scientific conferences, workshops, and industry events. What we need to see: BS, MS, or PhD in computational, theoretical and/or experimental physics, applied mathematics, computer science or equivalent experience. 5+ years building HPC, AI or machine learning software for applications in physics and numerical simulations.

Strong experience with GPU-accelerated computing and modern ML frameworks. Strong communication skills across technical and non-technical audiences. Ways to stand out from the crowd: High-impact publications in HPC and AI for numerical simulations, plasma physics and imaging science.

Deep understanding of numerical simulations such as particle-in-cell Experience with CUDA, parallel programming, or performance-focused software development. Familiarity with agentic AI workflows for science and discovery. We work on problems that matter, and with teams that highly value technical excellence.

This role offers the chance to construct a software stack for physics algorithms, numerical simulations, data processing/analysis that is supported by advanced computing. You will help craft tools that support researchers, partners, and developers across the ecosystem. It is an opportunity to build technology that can accelerate discovery at global scale.

#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 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 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