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Physics Informed Machine Learning Jobs in Mission Viejo, CA

Skyworks

Staff Reliability/FA Engineer

Irvine, CA · On-site

$114K - $220K/yr

In addition, proficiency in using software (machine learning, automation tools) is desired to help ... Generating product qualification plans based on the physics of failure approach and with an ...

Skyworks

Staff Reliability/FA Engineer

Irvine, CA · On-site

$114K - $220K/yr

In addition, proficiency in using software (machine learning, automation tools) is desired to help ... Generating product qualification plans based on the physics of failure approach and with an ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

... informed decision-making and driving business growth. Within our Technology Consulting practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Masimo Corporation

Engineer II, Algorithm

Irvine, CA · On-site

$120 - $150/hr

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Physics, or a related technical field required. Master's or PhD degree preferred. Language ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ... Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ... Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ... Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

$165 - $240/hr

... econometric and machine-learning techniques to commodity-specific datasets and investment ... financial economics, physics, engineering, computer science or another highly quantitative ...

Masimo

Engineer II, Algorithm

Irvine, CA · On-site

$120K - $150K/yr

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Physics, or a related technical field required. Master's or PhD degree preferred. Language ...

Masimo

Engineer II, Algorithm

Irvine, CA · On-site

$120K - $150K/yr

Apply statistical analysis, numerical modeling, machine learning, and digital signal processing ... Physics, or a related technical field required. Master's or PhD degree preferred. Language ...

Pwc

CTIO AI Engineering Manager

Irvine, CA · 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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How much do physics informed machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for physics informed machine learning in Mission Viejo, CA is $21.80, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $27.69 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

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 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 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 job categories do people searching Physics Informed Machine Learning jobs in Mission Viejo, CA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Mission Viejo, CA are:

What cities near Mission Viejo, CA are hiring for Physics Informed Machine Learning jobs?

Cities near Mission Viejo, CA 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 Mission Viejo, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,340 per year, or $21.8 per hour.

Staff Reliability/FA Engineer

Skyworks

Irvine, CA • On-site

$114K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Key responsibilities

  • Manage diverse integrated circuit product qualifications and analyze reliability test results.

  • Generate product qualification plans based on the physics of failure approach and customer specifications.

  • Assist with automation and AI-based initiatives to improve analysis efficiency.

Job description

Staff Reliability/FA Engineer
Posting Start Date: 6/25/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 77838
Job Description:
Description
We seek a senior level reliability engineer to join our corporate reliability team. We are looking for a seasoned and energetic individual to manage diverse integrated circuit product qualifications and use their expertise to help drive quality improvement. In addition, proficiency in using software (machine learning, automation tools) is desired to help enhance our analysis capabilities and improve efficiency. Our team works with multiple business units to achieve meaningful results as expeditiously as possible.
Responsibilities
  • Understanding quality and reliability methods for specifying component and product qualification plans.
  • Generating product qualification plans based on the physics of failure approach and with an understanding of the functioning of the product.
  • Providing reliability predictions based on customer specifications.
  • Assisting with automation and AI based efficiency initiatives.
  • Interfacing professionally with a broad range of engineering disciplines within the company-especially Product & Test Engineering, Design Engineering, Component Engineering, and Failure Analysis.
  • Reviewing and understanding reliability test results and making appropriate engineering judgement and decisions based on data, and driving appropriate actions.
  • Driving root cause analysis and corrective/preventive actions stemming from reliability qualification failures.
  • Updating internal databases for tracking qualification results.

Required Experience and Skills
  • BS degree and minimum 8 years overall job experience with 5 or more years of experience in silicon semiconductor industry
  • Experience with semiconductor IC product reliability, including JEDEC qualification standards, or willing to learn
  • Excellent interpersonal, communication, and writing skills while interacting with suppliers, customers, and internal staff
  • Familiar with silicon semiconductor failure modes and mechanisms. Experience with root cause analysis and permanently fixing quality and/or reliability issues.
  • Knowledge of design and testing, wafer fabrication processes, assembly processes, semiconductor device physics, failure analysis of ICs, 8D methodology, structural problem solving and statistical analysis
  • Strong analytical skills
  • Experience with Python or similar programming languages
  • Software experience with machine learning/AI or other advanced data analysis tools a plus
  • Must be able to successfully handle multiple high priority projects and deliver results
  • Proficient with Microsoft Excel, Word, and Power Point

Education
  • BS Degree in Electrical Engineering with recent experience with ML, AI tools used to enhance efficiencies
  • MS in Electrical Engineering a plus

#LI-JR1
The typical base pay range for this role across the U.S. is currently USD $114,400 - $220,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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