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Physics Informed Machine Learning Jobs in Orlando, FL

Programming experience with Python and/or Matlab especially for Machine Learning highly desired ... MS or PhD in Electrical Engineering or Physics with a focus on RF Design/Electromagnetics plus 2+ ...

Senior Simulation Analysis Engineer Onsite

Orlando, FL · On-site

$97K - $134K/yr

Artificial Intelligence (AI), Machine Learning (ML) and/or Surrogate Modeling * Computation on high ... Physics, or Aerospace Engineering. * Active Top Secret DoD clearance. * Experience in data analysis ...

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... informed from the very beginning. If you are results-oriented, possess excellent communication ...

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... informed from the very beginning. If you are results-oriented, possess excellent communication ...

... machine learning, crossed with the knowledge and experience of our small team of EDPNA's and case ... informed from the very beginning. If you are results-oriented, possess excellent communication ...

... data-informed decision-making for public and private sector clients. * Direct the design ... Lead the development, validation, and deployment of predictive, prescriptive, and machine learning ...

Medical Assistant

Apopka, FL · On-site

$15.50 - $20/hr

... informed on their condition and care ... You will also be helping manage the inventory of medical supplies, setting up machines and testing ...

Medical Assistant

Apopka, FL

$15.50 - $20/hr

... informed on their condition and care ... You will also be helping manage the inventory of medical supplies, setting up machines and testing ...

Medical Assistant

Apopka, FL

$15.50 - $20/hr

... informed on their condition and care ... You will also be helping manage the inventory of medical supplies, setting up machines and testing ...

Showing results 21-40

Physics Informed Machine Learning information

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

As of Sep 9, 2026, the average hourly pay for physics informed machine learning in Orlando, FL is $18.73, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $23.80 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 are popular job titles related to Physics Informed Machine Learning jobs in Orlando, FL?

For Physics Informed Machine Learning jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Orlando, FL look for?

The top searched job categories for Physics Informed Machine Learning jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Physics Informed Machine Learning jobs?

Cities near Orlando, FL with the most Physics Informed Machine Learning job openings:

Sr RF Design Engineer - Modules

Apopka, FL • On-site

Qorvo, Inc.
Manufacturing • 5 - 10K employees

Full-time

Re-posted 17 days ago


Qorvo rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.

Summary:

Qorvo is looking to hire an experienced RF design engineer for the position of Principal Design Engineer - RF Modules for a full-time opportunity in the capacity of an individual contributor, in our Apopka FL Design Center. The primary role is to own the design of RF modules from concept to production release supporting Cellular Base Station, GPS, Radar, Satellite, CATV and other such applications. GaAs HBT and or PHEMT RFIC design skills are preferred.

Key Responsibilities:

    • Technical ownership of RF module design and development projects from inception to production release; meeting technical performance, schedule and cost goals for NPI (New Product Introduction).
    • Performing circuit level design of RF sub-systems, EM simulations, impedance matching circuits, chain analysis including investigation of variations etc. of RF modules to ensure first pass success of designs.
    • Support preparation of technical proposals to customers.
    • Work closely with project managers to make sure key project milestones are met.
    • Prepare and own internal documentation related to design, prepare and present various technical and project reviews internally and to external customers.
    • Working closely with test engineering personnel to characterize prototypes and product samples, and lead design optimization for performance, yield, reliability and cost.

Technical Skills - Required:

      • Solid understanding of fundamentals of RF/Microwave module design including circuit and electromagnetics level simulations. Good understanding of radio systems and building blocks such as LNAs, PA's, RF switches, attenuators, filters etc. Require very good working knowledge of RF simulation tools such as Keysight ADS, HFSS). Familiarity with multilayer laminate/PCB layout.
      • Very good theoretical understanding and industry and/or academic hands-on experience with impedance matching techniques and matching circuit design, implementation and test bench level tuning.
      • Ability to create 3D circuit models using EM tools and run simulations on  RF/Microwave structures and translate between the model, simulation, physical implementation, and measured performance required.
      • Good working knowledge of RF test techniques for noise, s-parameters, linearity and lab equipment such as Vector Network Analyzer, Spectrum Analyzer, Oscilloscopes etc.
      • Experience with IPD (Integrated Passive Device) die design for implementing baluns, couplers etc.
  • Technical Skills - Desired:
    • Working knowledge of multi-chip module (MCM) packaging processes - soldering, wire bonding, die attach, thermal management etc. Previous experience with passive RF components - filters, couplers etc. - desired. Understanding of MMIC technologies such as GaAs, RF SOI, GaN desired.
    • Exposure to MMIC design highly desired, preference will be given to candidates with GaAs HBT and or PHEMT design background.
    • Previous experience with high rejection/high isolation filter design and implementation is highly desired.
    • Experience with AWR and Cadence simulations toolsets desired.
    • Programming experience with Python and/or Matlab especially for Machine Learning highly desired.
  • Soft Skills:
    • Must be an excellent results-driven team player, have willingness and ability to learn new skills and technologies.
    • Good written and oral communication skills required.
    • Ability to work effectively and efficiently across diverse engineering, product management, marketing and manufacturing teams.

Education Requirement: 

  • MS or PhD in Electrical Engineering or Physics with a focus on RF Design/Electromagnetics plus 2+ years of RF module design experience required. 

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MAKE A DIFFERENCE AT QORVO   

 We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.

We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability. 


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