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Physics Informed Machine Learning Jobs in Oregon

Apple

Custom Circuits Design Engineer

Beaverton, OR · On-site

Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion ... device physics, leakage mechanisms, technology interactions with device behavior. - Solid ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/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 ...

Artemis Arc

... data-informed healthcare services to our nation's Veterans. The ideal candidate is a detail ... Exposure to artificial intelligence, machine learning, or robotic process automation (RPA) ...

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 ...

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 ...

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

NGA AI Engineer Senior Manager

Portland, OR · On-site

$91K - $321K/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

NGA AI Engineer Manager

Portland, OR · On-site

$73K - $244K/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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Physics Informed Machine Learning information

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.

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 popular job titles related to Physics Informed Machine Learning jobs in Oregon? For Physics Informed Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Oregon look for? The top searched job categories for Physics Informed Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Physics Informed Machine Learning jobs? Cities in Oregon with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Custom Circuits Design Engineer

Custom Circuits Design Engineer

Apple

Beaverton, OR • On-site

Full-time

Re-posted 2 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Do you have a passion for crafting entirely new solutions? Do you love building without precedent? As part of our Digital group, you'll take imaginative and revolutionary ideas and determine how to turn them into reality. You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Your efforts will be groundbreaking, often literally. Join us, and you'll help design the tools that allow us to bring customers experiences they've never before envisioned. You will be part of an exciting silicon design group that is responsible for designing state-of-the-art ASICs. We have an extraordinary opportunity for Circuits Engineers to design advanced custom digital megacells (SRAM memories, on-chip sensors, ML accelerators data path) used in a high performance / low power SOC.
Description
Imagine yourself at the center of our SOC design effort, collaborating with all fields, with a critical impact and playing a strategic role of getting functional products to millions of customers quickly. You will have the opportunity to integrate and come-up with new ideas, as well as work with a team of hardworking engineers. You will perform the following - - Develop custom circuits to improve chip power efficiency. - Work with power team, PD and architects to define specifications and requirements - Perform design, analysis, modeling/simulation, circuit level specifications, schematic capture, spice simulation / margin verification across PVT, statistical design, functional verification and silicon bring up.
- Work closely with layout team to complete the design and oversee the layout quality.
- Develop / drive circuit methodology to achieve the highest design quality metrics.
Minimum Qualifications
BS and a minimum of 3 years of relevant industry experience
Preferred Qualifications
We are looking for applicants with design experience in advanced technology nodes.
- Experience in design of low voltages / low power custom circuits.
- Experience in one or multiple of the following areas is highly desirable: Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion circuits, ultra-low power amplifiers, DC/DC converters, digital on-chip sensors, high speed clocking, time to digital converters (TDCs).
- Deep understanding of deep submicron device physics, leakage mechanisms, technology interactions with device behavior.
- Solid understanding of device matching, device noise sources (1/f, thermal), extrinsic noise sources (supply, jitter), and their impact on high precision circuit.
- Ability to conduct experiments during silicon debug, gathering and analyzing data; and utilize scripting to support efficient handling of ATE data.
- Familiar with mixed signal verification and behavioral models for mixed signal blocks.
- Proficiency in scripting languages (Python /Perl or others) and CAD automation tools.
- Knowledge of industry standard circuit and design tools.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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