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Physics Informed Machine Learning Jobs in Oregon

Nvidia

OR

... Physics, Mathematics, other Engineering or related fields (or equivalent experience) * 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics * Strong fundamentals in ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170.50K - $315.49K/yr

D. degree in Mathematics, Physics, Computer Science, or a relevant STEM field. * 5+ years of ... years+ Machine learning and deep learning algorithms or High-performance computing (HPC ...

University Of Oregon

Instrument Machinist

Eugene, OR

$21.75 - $30/hr

Architecture/Art/Design, Research/Scientific/Grants, Physics, Engineering/Biomedical Engineering ... Minimum Requirements Two years experience in machine shop practice Bachelor's degree in a technical ...

University of Oregon

Instrument Machinist

Eugene, OR · On-site

$21.75 - $30/hr

Architecture/Art/Design, Research/Scientific/Grants, Physics, Engineering/Biomedical Engineering ... Minimum Requirements • Two years experience in machine shop practice • Bachelor's degree in a ...

Pwc

OR · On-site

$55K - $187K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Nvidia

OR

PhD in Computer Science, AI, Machine Learning, Computational Science, Physics, Biology, Bioengineering, or a related technical field; or equivalent experience demonstrating comparable research depth ...

Nvidia

OR · On-site

... machine learning/deep learning models to ensure the best performance on current- and next ... What We Need To See: * BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics ...

Amgen

OR

Assess how LLMs, AI agents, machine learning models, NLP, automation, knowledge retrieval ... Help leaders make informed decisions about where to invest, scale, or stop. * Maintain a portfolio ...

Nvidia

OR · On-site

... machine learning/deep learning models to ensure the best performance on current- and next ... What We Need To See: * BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics ...

Amgen

OR

Assess how LLMs, AI agents, machine learning models, NLP, automation, knowledge retrieval ... Help leaders make informed decisions about where to invest, scale, or stop. * Maintain a portfolio ...

Pwc

CTIO-AI Engineer-Sr Associate

Portland, OR · On-site

$55K - $187K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

US Tech - AI Engineering Senior Associate

Portland, OR · On-site

$55K - $187K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Pwc

OR

$55K - $187K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Nvidia

OR

$122.40K - $161.30K/yr

When useful, you will apply machine learning and deep learning techniques for categorization and ... Physics, Computer Science, or equivalent experience. * Strong Python and JavaScript; * Comfortable ...

Pwc

NGA AI Engineer Senior Manager

Portland, OR · On-site

$91K - $321.50K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

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What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
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Senior Solutions Architect, Generative AI Data Processing

Senior Solutions Architect, Generative AI Data Processing

Nvidia

Full-time

Posted 17 days ago

Job description

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

You will become a trusted technical advisor with our customers, work on exciting projects and deploy AI solutions in production using Data Processing for Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What You Will Be Doing:

  • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions

  • Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas

  • Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform

  • Working closely with customers to help them adopt and build creative solutions using NVIDIA technology

  • Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases

  • Some travel to conferences and customers may be required

What We Need To See:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics

  • Strong fundamentals in programming, optimizations, and software design, especially in Python

  • Strong problem-solving and debugging skills

  • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments

  • Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

  • Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure

  • Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDS

  • Expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks

  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

  • Familiarity with parallel programming and distributed computing platforms

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 5, 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.
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

Year founded

1993

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