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Remote Cfd Jobs in Raleigh, NC (NOW HIRING)

Senior Environmental Engineer 1

Cary, NC · On-site +1

$106.50K - $146.30K/yr

A remote position may be considered for the ideal candidate. DUTIES/RESPONSIBILITIES In this position, youwill: * Perform mechanical and process design analysis and calculations according to project ...

Senior Transformer Engineer

Raleigh, NC · On-site +1

$101.60K - $139.50K/yr

Engineering & Science Job Schedule: Full time Remote: Yes The Opportunity Are you ready to elevate your engineering career? Hitachi Energy is seeking a passionate and experienced Transformer Engineer ...

Senior Structural Engineer

Raleigh, NC · On-site +1

$97.70K - $132.70K/yr

Savannah, GA / Remote (Hybrid options available) About Raymond: We are a progressive, forward-thinking architecture and engineering consulting firm with over 30 years of experience. Employee-focused ...

FACTS commissioning Engineer

Raleigh, NC · On-site +1

$85K - $95K/yr

This position can be classified as Remote within the United States for the right candidate for commissioning and should be open to relocate to Raleigh, NC eventually. You must be able to commute to ...

FACTS commissioning Engineer

Raleigh, NC · On-site +1

$85K - $95K/yr

This position can be classified as Remote within the United States for the right candidate for commissioning and should be open to relocate to Raleigh, NC eventually. You must be able to commute to ...

Sr. Professional Services Engineer Consultant

Raleigh, NC · On-site +1

$80.20K - $106.90K/yr

This role is based in Raleigh, San Francisco or remote What this looks like day-to-day * Engagement design and scoping: Partner with Account Directors and Customer Engineers to qualify Professional ...

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101.60K - $139.50K/yr

HedgeServ supports employees through a variety of offerings, including remote and hybrid working arrangements, and fully paid comprehensive health and well-being benefits. We've been recognized as an ...

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Remote Cfd information

See Raleigh, NC salary details

$10.7K

$90.4K

$128.3K

How much do remote cfd jobs pay per year?

As of May 30, 2026, the average yearly pay for remote cfd in Raleigh, NC is $90,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $106,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote CFD (Computational Fluid Dynamics) Engineer, you need a strong background in fluid mechanics, numerical methods, and engineering principles, typically with a degree in mechanical, aerospace, or chemical engineering. Proficiency in CFD software such as ANSYS Fluent, OpenFOAM, or STAR-CCM+, along with experience in programming languages like Python or MATLAB, is crucial. Strong problem-solving abilities, self-motivation, and effective remote communication skills set outstanding professionals apart. These competencies ensure accurate simulation results, efficient project management, and successful collaboration within distributed engineering teams.

What are some common challenges faced by Remote CFD Engineers, and how can they be addressed?

Remote CFD (Computational Fluid Dynamics) Engineers often encounter challenges related to collaborating with team members across different time zones and ensuring efficient data sharing due to the large size of simulation files. To address these issues, it's important to establish clear communication channels, utilize cloud-based collaboration tools, and maintain strong documentation practices. Additionally, proactively scheduling regular meetings and leveraging version control systems can help streamline project workflows and keep everyone aligned, even when working remotely.

What are remote CFD jobs?

Remote CFD jobs involve using Computational Fluid Dynamics (CFD) software and techniques to simulate and analyze fluid flows, heat transfer, and related phenomena from a location outside a traditional office, such as from home. Professionals in these roles use specialized software to model complex systems in industries like aerospace, automotive, or energy. Remote CFD jobs require strong analytical skills, proficiency with simulation tools like ANSYS or OpenFOAM, and effective communication to collaborate with teams online. These positions offer flexibility and the opportunity to work with global clients or companies while staying up-to-date with the latest simulation methods.

What is the difference between Remote Cfd vs Remote CFD?

AspectRemote CfdRemote CFD
CredentialsEngineering degree, CFD certificationEngineering degree, CFD certification
Work EnvironmentHome office, software-based tasksHome office, software-based tasks
Industry UsageEngineering firms, simulation companiesEngineering firms, simulation companies
Job FocusComputational Fluid Dynamics analysisComputational Fluid Dynamics analysis

Both Remote Cfd and Remote CFD roles involve CFD analysis, require similar credentials, and are used in engineering and simulation industries. The main difference lies in terminology preference, with 'CFD' being more common in industry jargon. Overall, they represent comparable positions with slight naming variations.

What are the most commonly searched types of Cfd jobs in Raleigh, NC? The most popular types of Cfd jobs in Raleigh, NC are:
What are popular job titles related to Remote Cfd jobs in Raleigh, NC? For Remote Cfd jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Remote Cfd jobs? Cities near Raleigh, NC with the most Remote Cfd job openings:
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Durham, NC • On-site, Remote

$140K - $220K/yr

Full-time

Posted 9 days ago


Job description

Overview
Frontier Technology Inc. (FTI) is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI delivers mission-focused solutions to the Department of Defense/Department of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.
*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.
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