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Remote Cfd Jobs in California (NOW HIRING)

Booz Allen Hamilton, Inc.

Digital Engineer

El Segundo, CA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0244644 Location: El Segundo,CA,US Share job via: Share Digital Engineer The Opportunity : Create, integrate, and apply interdisciplinary digital models of products ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle ...

Teradyne

Senior Mechanical Engineer

San Jose, CA · On-site +1

$121K - $214K/yr

Also, the ability to communicate effectively in a remote environment is a key requirement. Finally, being curious, a self-starter, and eager to take on new challenges are attributes of the successful ...

Teradyne

Senior Mechanical Engineer

Agoura Hills, CA · On-site +1

$121K - $214K/yr

Also, the ability to communicate effectively in a remote environment is a key requirement. Finally, being curious, a self-starter, and eager to take on new challenges are attributes of the successful ...

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

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All JobsCfd JobsRemote Cfd JobsRemote Cfd Jobs in California

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 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 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 the most commonly searched types of Cfd jobs in California? The most popular types of Cfd jobs in California are:
What are popular job titles related to Remote Cfd jobs in California? For Remote Cfd jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Cfd jobs in California look for? The top searched job categories for Remote Cfd jobs in California are:
What cities in California are hiring for Remote Cfd jobs? Cities in California with the most Remote Cfd job openings:
Remote Cfd jobs near you
Infographic showing various Remote Cfd job openings in California as of August 2026, with employment types broken down into 76% Full Time, 7% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 10 days ago

Job description

Company Description
Job Description
Applied AI Engineer, Work From Home
We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows. The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys. This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems. We have multiple openings for this position. This position is 100% Remote.
Applied AI Engineer Responsibilities:
- Build AI-powered product features integrated into real insurance workflows.
- Design and optimize LLM-based interactions across customer and internal systems.
- Develop prompts, reasoning flows, and structured AI outputs for production use cases.
- Evaluate model performance using real-world data, feedback loops, and experiments.
- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.
- Design and implement AI-driven automation features (chat, recommendations, decision support).
- Analyze user behavior and model responses to continuously improve AI performance.
- Collaborate with product, design, and engineering teams to ship end-to-end AI features.
- Contribute to AI system design decisions focused on usability and real-world impact.
Applied AI Engineer Outcomes
- AI features are reliable, consistent, and production-ready across workflows.
- User-facing AI interactions are intuitive and improve task completion rates.
- Model outputs are measurable, testable, and continuously improving.
- AI-driven automation reduces manual work in insurance processes.
- Product teams can safely deploy AI features with controlled behavior.
Qualifications
Applied AI Engineer Qualifications:
- Strong software engineering background in production environments.
- Experience working with LLMs (OpenAI, Anthropic, or open-source models).
- Familiarity with prompt engineering, structured outputs, and tool use patterns.
- Experience building or integrating AI features into real products.
- Strong understanding of API-based system integration.
- Ability to evaluate AI outputs critically using data and user feedback.
- Experience with experimentation, A/B testing, or evaluation frameworks.
- Strong product sense and focus on user experience.
- Comfortable working in fast-paced, globally distributed teams.
- Tech Stack: A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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Additional Information
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