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Remote Cfd Simulation Engineer Jobs in Virginia (NOW HIRING)

SAIC

NRO Payload Engineer

Chantilly, VA · Remote

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Payload Subject Matter ... simulation results. • Assess Technology Readiness Levels (TRLs) and identify risks to program ...

SAIC

PCT Remote Pilot Operator

Warrenton, VA · Remote

$17.50 - $24/hr

... training simulator. The RPO operates a combination of a simulated radar display and voice ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

... simulations using 3D tools such as PyTorch3D, Unity, or Unreal Engine to train computer vision ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

IntelliTech

Senior Data AI Engineer

Alexandria, VA · On-site +1

$103K - $140K/yr

Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship ... The platform is a supply chain simulation solution built on Python, FastAPI, and React that enables ...

SAIC

NRO Payload Engineer

Chantilly, VA · Remote

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Payload Subject Matter ... Assess protection capabilities technical performance and modeling and simulation results. Assess ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

This position is based out of our Herndon, VA location with the option of a remote work schedule ... Designing and supporting top-level simulations * Translating requirements into FPGA architectures

Pae

Senior Radio Frequency Engineer

Dahlgren, VA · On-site +1

Conduct advanced system modeling and simulations using core RF development methodologies, including ... Classic Reach and Aggregate Remote Capability (ARC). * Finder Family of Systems. * Digital Receiver ...

Umbra

Senior Software Engineer (Command & Control)

Reston, VA · On-site +1

$127K - $168K/yr

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... simulation, or scientific computing). * Strong systems thinking. Ability to reason about tradeoffs ...

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Remote Cfd Simulation Engineer information

How does a Remote CFD Simulation Engineer typically collaborate with cross-functional teams during projects?

As a Remote CFD Simulation Engineer, you will frequently collaborate with multidisciplinary teams such as design engineers, project managers, and product development specialists. Communication is often handled through virtual meetings, shared documentation platforms, and project management tools to ensure alignment on project goals and timelines. You may participate in regular progress updates, provide simulation results, and offer technical recommendations to influence design decisions. Being proactive in communication and adept at remote collaboration tools is essential for success in this role.

What are Remote CFD Simulation Engineers?

Remote CFD Simulation Engineers are professionals who specialize in using computational fluid dynamics (CFD) software to analyze and solve problems related to fluid flow, heat transfer, and related physical phenomena. They work remotely, often collaborating with engineering teams via digital platforms, to develop simulations for industries such as aerospace, automotive, energy, and manufacturing. Their work helps optimize product designs, improve efficiency, and predict performance without the need for physical prototypes.

What are the key skills and qualifications needed to thrive as a Remote CFD Simulation Engineer, and why are they important?

To thrive as a Remote CFD Simulation Engineer, you need a strong background in fluid dynamics, numerical methods, and a relevant engineering degree, often supported by experience in computational modeling. Expertise in CFD software tools such as ANSYS Fluent, OpenFOAM, or STAR-CCM+, and familiarity with programming languages like Python or MATLAB, are typically required. Strong problem-solving skills, self-motivation, and effective communication are vital for collaborating remotely and delivering results. These competencies ensure accurate simulations, efficient workflows, and successful project outcomes in a remote engineering environment.

What is the difference between Remote Cfd Simulation Engineer vs Remote Mechanical Design Engineer?

AspectRemote Cfd Simulation EngineerRemote Mechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical Engineering, CFD certificationsBachelor's or Master's in Mechanical Engineering, CAD certifications
Work EnvironmentSoftware-focused, simulation labs, engineering teamsDesign studios, CAD software, prototyping facilities
Industry UsageAerospace, automotive, energy sectorsManufacturing, product design, consumer goods

Remote Cfd Simulation Engineers primarily focus on fluid dynamics simulations to optimize designs, while Remote Mechanical Design Engineers concentrate on creating and refining mechanical components using CAD tools. Both roles require strong engineering credentials and often work within the same industries, but their daily tasks and tools differ significantly.

What are the most commonly searched types of Cfd Simulation Engineer jobs in Virginia? The most popular types of Cfd Simulation Engineer jobs in Virginia are:
What are popular job titles related to Remote Cfd Simulation Engineer jobs in Virginia? For Remote Cfd Simulation Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Cfd Simulation Engineer jobs in Virginia look for? The top searched job categories for Remote Cfd Simulation Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Cfd Simulation Engineer jobs? Cities in Virginia with the most Remote Cfd Simulation Engineer job openings:
Remote Cfd Simulation Engineer jobs near you
Radio Frequency Software Engineer Lead - 1648

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 17 days ago

Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.
Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award...

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