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Remote Cfd Jobs in New York (NOW HIRING)

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

Sr. Platform Engineer (Remote - US)

Manhattan, NY ยท On-site +1

$115K - $157K/yr

Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we "role". About The Role Turn friction into ...

Senior AI Engineer (US Remote)

New York, NY ยท Remote

$180K - $210K/yr

Candidates located near the Waltham, MA office with the ability to work a hybrid schedule is preferred. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ ...

Showing results 21-40

Remote Cfd information

What is a remote CFD?

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 are the key skills and qualifications needed to thrive as a remote CFD engineer?

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 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 New York?

The most popular types of Cfd jobs in New York are:

What cities in New York are hiring for Remote Cfd jobs?

Cities in New York with the most Remote Cfd job openings:

Infographic showing various Remote Cfd job openings in New York as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.

AI/ML Engineer - Remote

YO AI Labs

New York, NY โ€ข Remote

Full-time

Posted 9 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.