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Physics Informed Machine Learning Jobs in Norfolk, VA

Data Engineer

Norfolk, VA · Hybrid

$116K - $139K/yr

... Informed Planning in support of the Joint Staff's mission. For nearly 50 years, CSA has delivered ... create machine learning models to support J35 efforts to automate and simplify key GFM and PLEX ...

... make informed decisions. Why HII We build the world's most powerful, survivable naval ships and ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

... MBSE-informed requirements traceability, interface definition, and functional decomposition in ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

... MBSE-informed requirements traceability, interface definition, and functional decomposition in ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

... make informed decisions. Why HII We build the world's most powerful, survivable naval ships and ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

... MBSE-informed requirements traceability, interface definition, and functional decomposition in ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ...

Data Scientist

Hampton, VA · On-site

$99K - $225K/yr

... machine learning, and artifi cia l intelligence. In an increasingly connected world, massive ... advise your clients as they make informed decisions. Ultimately, you'll provide a deep ...

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Physics Informed Machine Learning information

See Norfolk, VA salary details

$5

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

As of Jul 4, 2026, the average hourly pay for physics informed machine learning in Norfolk, VA is $19.41, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $24.66 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 are popular job titles related to Physics Informed Machine Learning jobs in Norfolk, VA? For Physics Informed Machine Learning jobs in Norfolk, VA, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Norfolk, VA look for? The top searched job categories for Physics Informed Machine Learning jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Physics Informed Machine Learning jobs? Cities near Norfolk, VA with the most Physics Informed Machine Learning job openings:

$116K - $139K/yr

Other

Posted 24 days ago


Job description

Description

Client Solution Architects (CSA) is currently seeking a Data Engineer to support a program onsite* at Norfolk, VA.


CSA is seeking a Data Engineer to enable secure, reliable, and scalable data solutions that directly impact J35S Global Force Management (GFM) systems and technology. The selected candidate will design and maintain enterprise-grade extract, transfer, load (ETL) pipelines, performing advanced data integration, cleaning, and transformation to ensure accuracy and compliance across diverse systems. In addition, enable seamless data flows that power analytics, visualization, and decision-making, while ensuring strict adherence to DoD cybersecurity and governance standards to ensure operational integrity. The mission of DDJ35 is to source and deploy trained and ready joint capable forces, lead the improvement of the Global Force Management and Joint Deployment processes, monitor force readiness and deployment, and support the implementation of Resource-Informed Planning in support of the Joint Staff's mission.


For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions.


*Onsite/Hybrid/Remote work schedules subject to change based on contract requirements.

How Role will make an impact:

  • Operational analysis and management of Global Force Management related to Joint Technology Development efforts.
  • Analyze government provided, authoritative and classified data to assist the J35 with gaining insight into Global Force Management GFM) and Planning and Execution (PLEX) process outcomes, as well as building statistical models to support process decision-making, and create machine learning models to support J35 efforts to automate and simplify key GFM and PLEX processes.
  • Conduct high-level market and business operation research to identify trends and relations and, as part of this, use a variety of sophisticated machines and methods to interact with and act upon data contained within the inventory of the DoD's mission critical and mission essential IT systems.
  • Analyze raw data provided by J35 government POCs, and turn it into actionable, understandable content with the help of the J35 GFM Operational managers using various mathematical models and algorithms. This information is used as an analysis source to tell the CJCS and Service/Combatant Commanders and J35 leadership of the "bigger picture" of the IT modernization efforts vital to decision makers.
  • Analyze data warehousing solutions and maintain familiarity with ETL Tools with data storage and retrieval, as the amount of data being dealt with is simply complex due to its inherent legacy. Provide sustainment and improvement
  • Design, build, and maintain data pipelines to support enterprise data flows.
  • Perform data integration, cleaning, and transformation across structured and unstructured sources.
  • Develop and implement data models to support analytics, visualization, and reporting.
  • Collaborate with analysts, developers, and mission stakeholders to ensure data accuracy and accessibility.
  • Deploy and manage solutions on cloud platforms (AWS, Azure, DoD Cloud) in compliance with federal security standards.
  • Create and maintain APIs for secure data access and integration.
  • Troubleshoot and optimize performance of large-scale data processing systems.
  • Ensure compliance with government data governance and cybersecurity requirements.

Requirements

What you'll need to have to join our award-winning team:

  • Clearance: Must possess and maintain a Secret U.S. security clearance
  • Education: Must posess a Master's degree with a minimum of 8 years' experience: OR, Bachelor's degree with a minimum of 12 years' experience; OR, no degree and 14 years' experience of technical areas with the operation, design, development, documentation, and operation of distrubted computer M&S
  • Security+ or Network+
  • ETL, data modeling, SQL, Python, Spark, cloud platforms (AWS, Azure, DoD Cloud)
  • Demonstrated success in one (1) or more technical areas 
  • Experience with software development management and systems engineering training or education (certification desired).
  • Knowledge, skills and experience in planning and defining operational requirements for local and wide area communications networks (voice, data, and video).  
  • Experience with testing and evaluations of modeling and simulation (M&S) and Command and Control (C2) Systems.
  • Experience in the ability to develop and maintain web-based joint training. 
  • Experience in developing and managing unique aspects of software intensive programs. 
  • Experience with managing and integrating web-based training products (including software, hardware, and network aspects).
  • Familiarity and experience with Java 9 "WildFly", Oracle 10i - moving to PostGres SQL, Tools supporting Java Enterprise Edition such as Hibernate Java Servlet Specification, Java Server Faces, and Java EE Context Dependency Injection. 
  • Shareable Content Object Reference Model support, Hypertext Markup Language 5 support, DoD Command Access Card Public Key Infrastructure, Schema Design, Production Language, Structured Query Language, and Database Optimization.
  • Analyze code, identify area of improvement for cybersecurity, enhance performance of the mobile learning suite servers, as well as their methodology for analyzing, designing, developing, testing, and fielding enhancements.
  • Understanding of the use of Jenkins, Eclipse, Subversion, and Bugzilla

What Sets you apart:

  • Microsoft Certified: Azure Data Engineer Associate
  • AWS Certified Data Analytics
  • Google Cloud Professional Data Engineer
  • Databricks Certified Data Engineer
  • Qlik data analytics certifications

Physical Requirements:

While performing the duties of this job, the employee is regularly required to:

  • Sit for extended periods of time and work at a computer workstation
  • Use hands and fingers to operate keyboards, mice, and other input devices
  • Communicate effectively, both verbally and in writing
  • Specific vision abilities required may include close vision, distance vision, depth perception, and the ability to adjust
  • Stand, walk, bend, or reach; Access equipment located in data centers, offices, or under desks
  • Lift and/or move equipment weighing up to 25 pounds

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, in accordance with the Americans with Disabilities Act (ADA).