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Physics Informed Machine Learning Jobs in Austin, TX

Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior. Ability to devise experiments and analyze data for silicon debug. Machine Learning ...

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 ...

Develop low-level workloads and kernels for machine learning training and inference applications ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Train Machine Learning (ML) models on existing and custom datasets and support collection and ... S. in Robotics, Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a ...

Train Machine Learning (ML) models on existing and custom datasets and support collection and ... S. in Robotics, Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a ...

... machine learning within a human factors design team. You'll have the unique opportunity to ... Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of ...

Experience with physical implementation of machine learning accelerators, network-on-chip ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Stay informed of the technical, market, and regulatory developments in the data center industry ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

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Physics Informed Machine Learning information

See Austin, TX salary details

$5

$19

$25

How much do physics informed machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for physics informed machine learning in Austin, TX is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $25.24 per hour, depending on experience, location, and employer.

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 cities near Austin, TX are hiring for Physics Informed Machine Learning jobs? Cities near Austin, TX with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Austin, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,364 per year, or $19.9 per hour.
SRAM Circuit Design Engineer

SRAM Circuit Design Engineer

Apple

Austin, TX

$175K - $308K/yr

Full-time

Medical, Dental, Retirement

Re-posted 29 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?
Be a part of a world-class silicon design team which delivered an incredible high performance M1 chip for our Mac line of products and chips for our flagship products (iPhone, iPad, Mac, Airpods, HomePod and Watch).
As part of our Digital Custom Group (DCG), 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. Join us, and you’ll help design the foundation that allows us to bring customers experiences they’ve never before envisioned!
This is a highly visible role at the heart of a silicon design effort, making a critical impact delivering products to market quickly. Your designs will strongly influence CPU / GPU / SoC / Neural Engine / Camera designs in Apple's Custom Silicon group.
Description
Imagine yourself at the center of our hardware development effort. Where you will collaborate with all fields, 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 insights, work with a team of hardworking engineers, and implement groundbreaking techniques of Machine Learning, Circuit design in Apple’s marquee products like M1 and A14 Bionic.
As an SRAM Circuit Designer for the Digital Custom Group, you will perform the following:
- Design and implement custom digital circuits for SRAM design.
- Work with an extraordinary logic/architecture team to formulate design specifications.
- Define architecture/topologies optimizing for power, timing, area and yield.
- Schematic capture, simulations/analysis, margin verifications.
- Functional equivalency and DFT modeling.
- Work with layout team to create optimal GDS.
- Verify extracted GDS meets design specifications.
- Backend verification, IR/EM.
- Write RTL, validate use-cases, verify against design schematics.
- Support post-silicon effort to enable productization.
Preferred Qualifications
We are looking for applicants with work experience within a SoC design cycle, developing circuits and SRAM/Register File for low power, low voltage and high performance. Knowledge of Cache design/architecture, memory hierarchy is a huge plus.
Working knowledge of RTL modeling
Solid understanding of industry-standard design tools.
Deep understanding of nanometer device physics, leakage mechanisms, technology interactions with device behavior.
Ability to devise experiments and analyze data for silicon debug.
Machine Learning algorithms (ML) and scripting is a big plus.
Minimum Qualifications
BS and a minimum of 10 years of relevant industry experience.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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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